Data Scientist Jobs in Lansing, MI

Company: Norstella Employment Type: Full Time **Description** At Norstella, our mission is simple: to help our clients bring life-saving therapies to market quicker-and help patients in need. Founded in 2022, but with history going back to 1939, Norstella unites best-in-class brands to help clients navigate the complexities at each step of the drug development life cycle -and get the right treatments to the right patients at the right time. Each organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, via our market-leading brands, we help our clients: + Citeline - accelerate the drug development cycle + Evaluate - bring the right drugs to market + MMIT - identify barrier to patient access + Panalgo - turn data into insight faster + The Dedham Group - think strategically for specialty therapeutics By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. As one of the largest global pharma intelligence solution providers, Norstella has a footprint across the globe with teams of experts delivering world class solutions in the USA, UK, The Netherlands, Japan, China and India. ** :** Norstella Real World Data (RWD) is seeking a skilled NLP Data Scientist with clinical background with a focus on Language Models to join our AI & Life Sciences Solutions team. Your expertise in processing and understanding natural language data, along with your knowledge of Electronic Health Records (EHR) and laboratory reports analysis, will be instrumental in driving our data science initiatives and innovations, particularly in the development of rich multimodal real-world datasets to expedite RWD-driven drug development in pharma. **Responsibilities:** + Employ and leverage NLP and open-source Large Language Models (LLM) such as LLama2, Mixtral, Qwen, BERT, etc., to extract, process, and interpret unstructured medical data from diverse sources like EHRs, medical notes, and laboratory reports. + Collaborate with clinical scientists and data scientists to create efficient NLP models for healthcare, exhibiting an understanding of both the technical and medical aspects of the data. + Conduct data cleaning, preprocessing, and validation to maintain the accuracy and reliability of insights gathered from NLP processes. + Validate and present data findings to stakeholders, exhibiting clear and effective communication skills. **Qualifications:** + Master's or Ph.D. degree in Computational Biology, Computer Science, Data Science, Computational Linguistics, Machine Learning, or a related analytical field. + Deep understanding and direct experience (2+ years) in handling and interpreting either Electronic Health Records (EHR) and laboratory tests results or genetic test results is a must. + Proven experience (2+ years) in NLP with a strong knowledge of NLP techniques such as Named Entity Recognition (NER), text summarization, topic modeling, etc. and their applied use in healthcare. + Expert-level understanding and practical experience (1+ years) with open-source Large Language Models (Llama2/3, Mixtral etc.), e.g., prompt engineering, inference, and fine-tuning. + Proficient in Python and SQL, with strong experience in NLP libraries such as NLTK, spa Cy, Hugging face Transformers, and deep learning libraries such as PyTorch, TensorFlow.Familiarity with common data science and ML practices, e.g., version control systems, agile methodologies, and documentation. + Experience in working with AWS cloud environment and large databases (e.g., AWS redshift). + Experience in managing ML lifecycle using open-source tools (e.g., MLflow).Detail-oriented with strong analytical and problem-solving abilities. + Excellent verbal and written communication skills, with ability to present complex data to non-technical audience. **Preferred Qualifications:** + Experience dealing with protected health information (PHI) and familiarity with healthcare-related data privacy laws such as HIPAA. + Familiarity with standard healthcare codes and terminologies such as ICD-10, CPT, LOINC, and SNOMED CT. + Experience in RAG (Retrieval-Augmented Generation) and vector store in the context of storing large volume of healthcare unstructured documents and querying those. **Benefits:** Medical and prescription drug benefits Health savings accounts or flexible spending accounts Dental plans and vision benefits Basic life and AD&D Benefits 401k retirement plan Short- and Long-Term Disability Paid parental leave Paid time off principles for success at Norstella **01: Bold, Passionate, Mission-First** We have a lofty mission to Smooth Access to Life Saving Therapies and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do. **02: Integrity, Truth, Reality** We make promises that we can keep, and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesn't. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals. **03: Kindness, Empathy, Grace** We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication. **04: Resilience, Mettle, Perseverance** We will persevere - even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission. **05: Humility, Gratitude, Learning** We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking. The expected base salary for this position ranges from $140,000 to $200,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus. _Norstella is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, color, nationality, ethnic or national origin, religion or belief, disability or age. Our ethos is to respect and value people's differences, to help everyone achieve more at work as well as in their personal lives so that they feel proud of the part they play in our success. We believe that all decisions about people at work should be based on the individual's abilities, skills, performance and behavior and our business requirements. Norstella operates a zero-tolerance policy to any form of discrimination, abuse or harassment._ _Sometimes the best opportunities are hidden by self-doubt. We disqualify ourselves before we have the opportunity to be considered. Regardless of where you came from, how you identify, or the path that led you here- you are welcome. If you read this job description and feel passion and excitement, we're just as excited about you._ Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.

With Confluent, organizations can harness the full power of continuously flowing data to innovate and win in the modern digital world. We have a purpose that drives us to do better every day - we're creating an entirely new category within data infrastructure - data streaming. This technology will allow every organization to create experiences and use the power of data in ways that profoundly impact the way we all live. This impact is our purpose and drives us to do better every day. One Confluent. One team. One Data Streaming Platform. Data Connects Us. **About the Role:** As a Marketing Data Scientist at Confluent, you will be a key player in analyzing lead funnel efficiency, marketing measurement and pipeline management. In this role, you will collaborate with Marketing, Growth, Sales & Finance stakeholders. Your focus will include data exploration, conducting in-depth analyses, and generating actionable insights to optimize and sustain healthy marketing funnel. **What You Will Do:** + Identify high-impact opportunities through data exploration, and generate strategic insights by collaborating with cross-functional teams, contributing to improvement amongst top of the funnel conversion metrics. + Define marketing metrics to measure success, develop scalable reporting to monitor the health of our pipeline, and analyze drivers for company KPIs + Share actionable insights and recommendations with leadership at various levels, playing a pivotal role in determining marketing campaign and pipeline strategy + Design and execute A/B tests to measure the impact of product features and launches, providing insights that guide iterative improvements. + Provide deep understanding of customer journey phases, from awareness to conversion with expertise in analyzing metrics like ROI, CLTV etc. to identify opportunities for growth and optimization + Collaborate with other data scientists across our organization to share best practices, learn new analytical techniques, and champion an organizational culture where data is central to decision making **What You Will Bring:** + 3+ years of experience in Data Science supporting a marketing function, preferably at a B2B SaaS company + Strong proficiency in data manipulation, especially using SQL (3+ years of experience) and a scripting language (Python/R) + Proficiency in data visualization and building dashboards with tools such as Tableau + Excellent communication skills, and ability to collaborate effectively with technical and non-technical stakeholders + Experience with marketing attribution models across a variety of channels (SEO, Paid Search, Social, etc.) and A/B testing frameworks + Exceptional problem solving skills and detail-oriented mindset + Bachelor or advanced degree in a quantitative discipline: computer science, engineering, statistics, economics, etc. **What Gives You an Edge:** + Familiarity with lead funnel, marketing attribution models, and marketing measurement using causal inference and other advanced analytical methods. + Understanding of the B2B Marketing Stack, Salesforce objects **Come As You Are** At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. This position has an annual estimated salary of $160,100 - $188,100 and a competitive equity package. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click HERE (******************************* . Click HERE (******************************************************************* to review our Candidate Privacy Notice which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees. \#LI-Remote

Meta's products are designed to bring people closer together and make it easier for them to share information, ideas, and experiences. We are hiring experienced Data Scientist across a variety of our product areas including Facebook, Instagram, Monetization, Integrity, Gen AI, Messenger, Reality Labs, Whatsapp, and others!As a Data Scientist, you will collaborate on a wide array of product and technical problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist (Technical Leadership) Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses. 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends. 4. Understand and identify opportunities to more responsibly leverage cutting edge technology. 5. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations. 6. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions. 7. Intellectual curiosity and drive, decisiveness, with ambiguity and complexity. **Minimum Qualifications:** Minimum Qualifications: 8. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 9. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development. 10. Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance. 11. Experience framing and communication skills. **Preferred Qualifications:** Preferred Qualifications: 12. Masters or Ph.D. Degree in a quantitative field. 13. Experience with predictive modeling, machine learning, and experimentation/causal inference methods. **Public Compensation:** $206,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand - with heart at its center - our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. **Position Summary** Responsible for security strategies utilizing industry security standards, normative comparisons with industry peers, best practice research and Aetna specific business and technology requirements. Helping define, drive and deliver all aspects of the data science product lifecycle, from requirements gathering, education, and strategy, to study design, solution architecting, programming, testing, implementation, delivery, and iteration of data science analytics products. **Required Qualifications** + 10+ years of expertise in machine learning, statistical analysis, security, and network data to model risk-driven models of workforce behavior and provide context to security analysts to drive business decisions. + 8+ years of experience in tensorflow or pytorch and knowledge of Gen AI/LLM/NLP/MLOps or similar methodologies. + 8+ years of customer interfacing experience (internal or external), demonstrating excellent ability to communicate technical ideas and results to non-technical clients in written and verbal form, and reliable executive presence. + Capability to provide strategic leadership by proactively recommending innovative research techniques and customer engagement opportunities. + Master's Degree in Data Science, Mathematics, Statics. PhD is ideal. . **Preferred Qualifications** + Extensive experience developing computational methods and algorithms as demonstrated by publications, Python etc. + Extensive experience in software development + Experience developing and applying data science methods to anomaly detection and/or times series problems. + Extensive experience in software development + Experience in Cloud computing environment. **Education** Bachelor degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience) **BUSINESS OVERVIEW** Bring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand - with heart at its center - our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities **Pay Range** The typical pay range for this role is: $144,200.00 - $288,400.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program. In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company's 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off ("PTO") or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies. For more detailed information on available benefits, please visit Benefits | CVS Health (****************************************** We anticipate the application window for this opening will close on: 03/31/2025 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

This is not a remote work opportunity. Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, and TN. Ericsson also does not hire F-1's working on EAD for this position. Are you ready to drive and shape the future of Ericsson Silicon's Verification analytics and data-driven insights? Join our dynamic Design Verification Methodology team, dedicated to defining cutting-edge metric-driven methodologies and dashboarding solutions across our global R&D sites in Austin, Stockholm, and Lund. About Us We are part of Ericsson Silicon, an engineering unit that develops state-of-the-art ASICs and FPGAs targeting the newest technology nodes for Ericsson's 5G telecommunication portfolio. This department offers many opportunities for career growth and access to a large knowledge base. What you will do: To excel in this high-visibility role, we seek individuals with a background in ASIC IP/ASIC SoC development, data science, and dashboarding. You will play a crucial role in shaping data-driven methodologies that help silicon IP engineers track Coverage metrics, Functional Coverage pass/fail rates, EDA tool efficiency, and verification progress, ensuring a holistic view of ASIC SoC health. A key focus is on building scalable metric systems, integrating AI/ML techniques for predictive analytics, and visualizing workload throughput across compute clusters and EDA tools * Design and implement Silicon DV metric systems to track and visualize: Coverage and Functional Coverage (pass/fail rates, closure status). Workload Throughput (runtime, memory usage, compute efficiency, and job scaling). EDA Resource Utilization (license usage, peak load analysis, and bottleneck detection). Other key KPI to measure and track Silicon Design and Verification status * Develop interactive dashboards for real-time monitoring of verification progress and EDA tool performance. * Create AI/ML-driven analytics for predictive workload optimization and resource allocation insights. * Automate data collection and transformation from EDA tools, compute clusters, and job schedulers. * Integrate metric systems into CI/CD workflows, enabling data-driven decision-making for IP/ASIC/SoC verification teams. * Collaborate with silicon engineers to improve compute scheduling, license efficiency, and verification throughput. * Establish best practices for data visualization, reporting, and engineering decision support. What you will bring: * Strong expertise in data science, analytics, and visualization tools (e.g., Python, Pandas, NumPy, Jupyter, Tableau, Grafana). * Experience with EDA tool monitoring (e.g., Synopsys VCS, Cadence Xcelium, Siemens Questa, JasperGold, Verdi). * Proficiency in SQL, NoSQL databases, and scalable data pipeline development. * Knowledge of AI/ML frameworks for predictive analytics in EDA workloads. * Familiarity with compute cluster resource monitoring (e.g., Slurm, LSF, Kubernetes). * Hands-on experience with runtime and memory profiling for verification workloads. * Understanding of CI/CD tools like Jenkins, GitLab, Docker, Kubernetes. * Strong programming skills in Python, Bash, Perl, or similar scripting languages. * Effective communication and ability to present data-driven insights to engineering teams. Why Join Us? * Be part of a high-impact team transforming silicon verification with data science and AI. * Work on cutting-edge analytics and visualization tools for EDA workload monitoring and optimization. * Shape data-driven verification methodologies for global engineering teams. * Collaborate with world-class experts in semiconductor R&D. base pay range $175,000 to $210,000 What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Notice of Job Opportunity - Legal Notices for PERM We encourage you to consider applying to jobs where you might not meet all the criteria. We recognize that we all have transferrable skills, and we can support you with the skills that you need to develop. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, learn more. If you need assistance or to request an accommodation due to a disability, please contact Ericsson at *************************** DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned. Primary country and city: USA || Austin, TX Job details: Developer Primary Recruiter: Jim Everett

At Oracle Health Applications & Infrastructure, our mission is to improve healthcare and quality of life globally through better experience and easier access to health data for patients and healthcare providers. We are looking for hands-on data science engineers with expertise and passion in solving difficult problems in healthcare such as contact and information management, automation of payer payee workflows, case management, autonomous coding and billing, semantic search, and ranking to name a few. We intend to revolutionize the healthcare industry by leveraging AI/ML and Generative AI and redefine customer experience. This is a greenfield opportunity to design and build new AI native cloud applications from the ground up. We are growing fast, still at an early stage, and working on new initiatives. An engineer at any level can have significant technical and business impact here. You will be part of a team of hard-working, motivated, a diverse set of people, and given the autonomy as well as support to do your best work. It is a dynamic and flexible workplace where you will belong and be encouraged. We operate with a startup mindset providing the best of two worlds -- the autonomy to iterate on new ideas, working on cutting-edge technology, while sitting within a stable, larger organization at Oracle. We're working on big goals, and we need talented folks with equally big ambitions. Join us! **About the Job** We're seeking a highly skilled Lead Data Scientist to modernize OHAI's Revenue Cycle product portfolio with AI native applications. As a Lead Data Scientist specializing in AI/ML, you will play a pivotal role in architecting, developing, and deploying state-of-the-art models to power our Revenue Cycle product suite. You will collaborate closely with cross-functional teams including product managers, software engineers, and data scientists to unlock machine learning capabilities in all our products. Our new platform will be built directly on Oracle Cloud Infrastructure (OCI) based on cloud native principles. We build to scale globally, leveraging state-of-the-art tooling, with zero downtime. **Responsibilities** **What You'll Make Happen** + Design and develop strategy for + medical language learning through language models + medical code and group code (per various specifications) using large language model + contract interpretation + transforming rules and workflows into decision tree using deep learning ML models + risk detection/anomaly detection using deep learning ML model + Work with Engineering team to lay out training data acquisition strategy + Lay out the process for ML use case evaluation and planning + Design, develop, and optimize RAG (Retrieval-Augmented Generation) models to facilitate effective information retrieval + Utilize vector databases and advanced indexing techniques to efficiently store and retrieve relevant information for conversational contexts + Fine-tune and optimize large language models such as Cohere for specific use cases in the healthcare. + Implement and experiment with cutting-edge NLP, NLU, and NLG techniques to solve various use cases. + Collaborate with engineers to integrate machine learning models into production systems, ensuring scalability, reliability, and performance **About You (Qualifications** ) + Master's degree or PhD in Computer Science, Engineering, Mathematics, or related experience. + 10+ years of experience in data science + Focus on building and deploying language AI + Strong programming skills in Python and proficiency with machine learning libraries such as TensorFlow, PyTorch, or R. + Experience with cloud platforms (e.g., AWS, OCI) and containerization technologies (e.g., Docker, Kubernetes). + Solid understanding of NLP fundamentals and experience with NLU/NLG techniques such as sentiment analysis, entity recognition, and text generation. + Preference for expertise in developing RAG models, working with vector databases, and fine-tuning large language models. + Excellent problem-solving abilities and a pragmatic approach to building scalable and robust machine learning systems. + Strong communication skills with the ability to collaborate effectively with cross-functional teams and articulate complex technical concepts to non-technical stakeholders + You are comfortable with ambiguity. You have a strong sense of ownership, can define your own workplan, set goals for others, and can drive projects to completion. + You are excited to learn new technologies and stay on the cutting edge of what's possible + You've taken a product or platform from 0 to 1, you know what it takes to launch something Career Level - IC5 **Responsibilities** Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from: $120,100 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we're focused on using technology to improve healthcare. Our commitment to innovation, design, and a product-centric approach helps us create solutions that make a real difference. We're a team of passionate individuals who thrive in a culture of collaboration and continuous learning. We leverage cutting-edge technology and data insights to solve complex problems, forge new business models, and create products that truly impact the lives of our customers. As a Full Stack Data Scientist and a key member of our AI CoE, you'll play a pivotal role in driving this transformation. You'll work closely with business stakeholders to understand their needs and translate them into actionable data-driven solutions. You will be responsible for building and maintaining robust machine learning models and GenAI solutions, designing intuitive user interfaces, and ensuring seamless integration with our existing systems. This role is looking for a highly skilled and versatile engineer who can bridge the gap between machine learning and front-end development. The ideal candidate will have a strong understanding of both areas and be able to apply their knowledge to build innovative and user-friendly applications. **Responsibilities** + Develop intuitive and user-friendly web applications using modern front-end frameworks (e.g., React, Angular, Vue.js) to showcase and interact with your ML/GenAI solutions. + Strong understanding of React components, state management, and lifecycle methods. + Ability to build complex and performant user interfaces. + Develop and deploy Machine Learning (ML) models: Design, train, and optimize machine learning models for a variety of applications like forecasting, classification and categorization systems, and churn prediction. + Develop, integrate and maintain Generative AI (GenAI) solutions: Explore and implement GenAI technologies, like large language models (LLMs), to enhance existing applications or create new GenAI-based solutions. This includes working with RAG technologies, embedding models, and crafting effective prompts for LLMs. Ensure the reliable and scalable deployment; and support and maintenance of GenAI models in production environments. + Construct robust APIs: Design and implement RESTful APIs to integrate your ML models or GenAI solutions with other applications and systems within the organization. + Build and maintain end-to-end ML pipelines: Design, develop, and maintain robust and scalable ML pipelines, encompassing data ingestion, feature engineering, model training, deployment, and monitoring. + Ensure scalability and performance: Design and implement solutions to ensure that your ML and GenAI applications are scalable, efficient, and performant, even with large volumes of data and usage. + Create compelling data visualizations: Develop interactive and insightful visualizations to communicate the results of your data analysis and ML/GenAI models to stakeholders + Collaborate with cross-functional teams: Work closely with principal and senior data scientists, data engineers, business analysts, and product and project managers to ensure successful delivery of projects. + Stay current on the latest trends in AI: Actively seek out and experiment on new ML and GenAI technologies and approaches to enhance your skillset, and the performance and efficiency of your ML/GenAI models. This includes active participation in internal events like AI CodeJam. **Qualifications** + Bachelor's degree in mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is preferred. + At least 4 years of experience as a Full Stack Machine Learning Engineer or similar role preferred + Experience including HTML, HTML5, CSS3 and JavaScript (React preferred), Angular, Vue.js, Python, Java, Node.js, Flask/Django, FastAPI, PostgreSQL. + Experience with popular React libraries and tools (e.g., Redux, React Router, Styled Components). + Experience in DevOps tools like Docker, Kubernetes, Airflow; version control using Git and CI/CD piplelines using Concourse + Knowledge of clinical domain and datasets. + Knowledge of REST, Apigee, Microservices preferred + Experience in Generative AI, RAG implementation, re-ranking, Large Language Models (LLMs), LangChain, LlamaIndex, Hugging Face, Vector databases, Embedding models, Prompting techniques. + Experience with Machine Learning and related technologies such as Jupiter Notebooks, RAG, NumPy, Pandas, Scikit-learn, Tensor-Flow, Pytorch, Supervised and Unsupervised learning, Deep learning, Model evaluation + Understanding of cloud data engineering and integration concepts including GCP, Vertex AI, Cloud functions, Compute Engine, Cloud storage. + Strong mathematical and statistical skills. + 2+ years in the Healthcare industry and knowledge of clinical data preferred. + Delivery experience with Google Cloud Platform preferred. + Agile development skills and experience preferred. + Experience designing and developing machine learning and deep learning solutions and systems. + Experience using statistical analysis to determine data modeling approach, training machine learning tests and experiments. + Experience possessing deep functional and technical understanding of the Machine Learning technologies (Google's Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged within the Commercial Technologies and/or Business landscape. + Experience mining and analyzing large structured and unstructured datasets. + Experience identifying the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions. + Experience in building end-to-end ML pipelines from data ingestion, feature engineering, model training, deploying and scaling the model in production + Experience in model training, model evaluation, model optimization, ML system architecture design, and scalable ML model deployment + Experience building large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Platform and the Apache Beam + Proficiency in Python and relevant libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks. + Experience in building solutions for AI/ML services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment e.g., (GCP) + Experience interacting with REST APIs and microservices + Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment. **What is expected of you and others at this level** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Recommends new practices, processes, metrics, or models + Works on complex projects of large scope projects may have significant and long-term impact + Provides solutions which may set precedent + Collaborate with stakeholders for completion of new projects **Anticipated salary range:** $93,500 - $133,600 **Bonus eligible:** No **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 1/26/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times a week, at minimum. **The Role** The Staff Data Scientist is an internal expert in methodology and leads audience activation modeling efforts, translating complex customer data into actionable marketing strategies and personalized customer experiences through machine learning modeling. This individual possesses deep technical expertise in statistics and machine learning, with a strong focus on their application in marketing targeting. This individual will collaborate closely with stakeholders from GM's vehicle brands and the Performance Driven Marketing team to ensure business acceptance of proposed methods, conduct objective performance evaluations, and optimize audience activation to drive sales. You will be responsible for developing advanced marketing models, extracting valuable insights, and creating scalable solutions that identify high-return investment opportunities at the channel and tactic levels. Our team is focused on delivering forward-thinking, consumer-centric, and prescriptive solutions that enable GM to remain proactive and agile as we transition to electric vehicles (EVs). **What You'll Do** Staff Data Scientist will be responsible for: + Work on a cross-functional team to propose and implement high-impact, data-driven solutions to address business challenges across a variety of business units + Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems + Create breakthrough solutions, performing exploratory and targeted data analyses + Undertake preprocessing of structured and unstructured data + Monitor and sustain model effectiveness + Present complex information using data visualization techniques + Work with diverse technical teams and provide data and analytical oversight to ensure project deliverables fulfill business needs and timing + Identify long-term technical innovations while continuously improving execution efficiency + Possessing contextual business knowledge and functional domain expertise in the advertising and media space, showing a proven ability of using data, analytics, and insights to add revenue and business-impacting value in this via audience selection and behavioral engagement + Exhibiting a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact + Exhibiting the ability to tell a succinct, data-driven story in any forum and tailor delivery to a wide range of stakeholder levels, from analyst to senior executive + Ensuring a superior level of delivery quality at all levels of their organization through the creation of internal structures and extensible frameworks to manage accountability and develop staff + Mentoring junior data scientists on the team **Your Skills & Abilities (Required Qualifications)** + Master's Degree or Ph.D. in Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research, Marketing Science, or another quantitative field + Deep knowledge of Machine Learning and Statistics. Familiarity with Deep Learning algorithms is a plus + Proficient in writing scalable code using Python and SQL/Spark, with experience working with Spark/ML, scikit-learn, NumPy, Pandas, StatsModels, PyMC, TensorFlow, PyTorch, and related packages + Experience withcloud compute platforms such as Azure with Databricks experience being especially valuable + 10+ years of experience as a Data Scientist or in a related role,developing, deploying, and monitoring performance of large analytic data sets and machine learning based models + Desired expertise in marketing analytics and advanced methods such as: customer lifetime value, consumer choice (multinomial logit), time-series forecasting, hierarchical bayes, panel-data methods (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, hazard /survival models, structural equation modeling, item response theory, latent class regression, media mix modeling (MMM), multi-touch attribution (MTA) + Prior experience with CRM, paid, earned, and owned media + Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality **Additional Job Description** This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review. Compensation: + The expected base compensation for this role is: $160,200- $285,300. Actual base compensation within the identified range will vary based on factors relevant to the position. + **Bonus Potential:** An incentive pay program offers payouts based on company performance, job level, and individual performance. + **Benefits** : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE. \#LI-CC1 **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We aspire to be the most inclusive company in the world. We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team. **Benefits Overview** The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others: - Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents; - Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family; - Company and matching contributions to 401K savings plan to help you save for retirement; - Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; - Tuition assistance and student loan refinancing; - Discount on GM vehicles for you, your family and friends. **Diversity Information** General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer. We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities. **Equal Employment Opportunity Statements** GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an individual's protected characteristics. For purposes of this policy, "protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. **Explore our global location** **s** The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

**Our Company** At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers and our customers' customers to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. **What You'll Do** The Senior Data Scientist (pre-sales) is an experienced and expert Data Scientist, able to provide industry thought-leadership on Analytics and its application across industries and across use-cases. The Senior Data Scientist supports the account team in framing business problems and in identifying analytic solutions that leverage Teradata technology and that are disruptive, innovative - and above all, practical. An articulate and compelling communicator, the Senior Data Scientist establishes our position as an important partner for advanced analytics with customers and prospects and is a trusted advisor to executives, senior managers and fellow data scientists alike across a range of target accounts. They are also a hands-on practitioner who is ready, willing and able to roll-up her sleeves and to deliver POC and short-term pre-sales engagements. The Senior Data Scientist has an excellent theoretical and practical understanding of statistics and machine learning and has a strong track record of applying this understanding at scale to drive business benefit. They are insanely curious and is a natural problem-solver and able to effectively promote Teradata technology and solutions to our customers. **Who You'll Work With** The successful candidate will work with other expert team members to: + Provide pre-sales support at an executive level to the Teradata account teams, helping them to position and sell complex Analytic solutions that drive sales of Teradata software. + Provide strategic pre-sales consulting to executives and senior managers in our target market. + Support the delivery of PoC and PoV projects that demonstrate the viability and applicability of Analytic use-cases and the superiority of Teradata solutions and services. + Work with the extended Account team, and Sales Analytics Specialists to develop new Analytic propositions that are aligned with industry trends and customer requirements. **What Makes You a Qualified Candidate** + a degree level qualification (preferably Masters or PHD) in Statistics, Data Science, the physical or biological sciences or a related discipline + Have proven hands-on experience of complex analytics at scale for example in the areas of IoT and sensor data. + Understand the PMML and ONNX model portability standards + Have experience with Teradata partner's analytical products, Cloud Service providers such as AzureML and Sagemaker and partner products such as Dataiku and H2O + Have strong hands-on programming skills in at least one major analytic programming language and/or tool in addition to SQL **What You'll Bring** + An expertise in Data Science with a strong theoretical grounding in statistics, advanced analytics, and machine learning and at least 5 years real-world experience in the application of advanced analytics. + A passion about knowledge sharing and demonstrate a commitment to continuous professional development. + A Belief in Teradata's Analytic solutions and services and be a commitment to working with the product, engineering, and consulting teams to ensure that they continue to lead the market + An ability to turn complex technical subject matter into relatable easy to digest and understand content for senior audiences. **Why We Think You'll Love Teradata** We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. \#LI-CP2 Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. Pay Rate: 117100.0000 - 146400.0000 - 175700.0000 Annually Starting pay for the successful applicant will depend on geographic location, internal equity, job-related knowledge, skills, and candidate experience. Sales roles will be eligible for commission payments tied to quota achievement. All other permanent roles will be eligible for one of our annual incentive plans, which are based on company financial attainment and individual performance. Employees in this position are also eligible to participate in the Company's comprehensive benefits programs, which include healthcare, life and disability insurance plans, a 401(k)-retirement savings plan, and time-off programs. Specific details of these benefits, including eligibility criteria and plan options, will be provided during the hiring process and can be reviewed here: **************************************************

This job is an ASA Certified actuary position that initiates and leads the development of actuarial studies and analyses. Gives direction to less experienced staff and will represent the department's perspectives and needs in cross disciplinary settings. The incumbent applies actuarial techniques and statistical analysis to several functions, including insurance premium and pricing development, claim trend analysis, experience studies, medical economics, profitability analysis, wellness studies, predictive modeling, or claim reserving. **ESSENTIAL RESPONSIBILITIES** + Define & diagnose a problem. Outline data requirements for a study or analysis and devise insightful and creative solutions. Uncover the root causes of problems and reject superficial explanations. Review the appropriateness of the results in light of experience and industry knowledge. Consider alternate explanations or viewpoints before drawing conclusions. + Initiate and lead the development of studies, analyses, and presentation materials needed to appropriately inform decision makers. Make appropriate recommendations to management across teams both within and outside of the actuarial department while understanding the implications and consequences to all stakeholders. + Proactively ensure the internal and external consistency of all work. Use advanced industry knowledge to both perform reasonability checks as well as exceed customer expectations. Identify methods to test whether suspect results are correct. Form reasonable approximations in advance of results of an analysis and determine whether deviations are reasonable or suspect. Clarify information as needed. + Take the initiative to utilize internal and external knowledge forums to gain broader industry perspective. Demonstrate subject matter expertise and as a result is sought out by others for technical input on producing accurate and efficient work. Promptly and efficiently identify outliers and anomalies in the work of others. + Exhibit a thorough understanding of both corporate and division goals and values. Apply corporate, professional, and industry knowledge & insight to all tasks under incumbent's control or influence. Use expertise to envision and implement innovative new processes and propose changes to existing processes, leading to improved outcomes that better conform to corporate goals, objectives, and values. Demonstrate a capacity to shift between "big picture" and "detailed" thinking when analyzing issues and their strategic importance. + Independently manage own time and resources across many projects. Demonstrate responsiveness, confidence, flexibility and ability to independently prioritize when shifting from one task to another. Comfortable in a dynamic, changing environment. Approach new challenges with anticipation and a view towards success. Identify emerging opportunities, establish project objectives, specify strategies, and organize necessary tasks. Keep manager informed. + Interact with stakeholders in a manner that fosters cooperation and teamwork while conveying engagement and competence. Enhance department influence by providing responsive service and understanding customer needs. Effectively and confidently present information and provide decision support to team members and executive management. Consider alternate points of view on issues, demonstrating sensitivity to others' situations. Maintain positive, productive working relationships despite differing or conflicting situations and personalities. Correctly interpret direct and indirect messages and verbal and non-verbal behaviors and respond appropriately. + Engage, motivate, and mentor less experienced staff on a regular basis in a positive manner that fosters teamwork and excellence. Listen, take direction, accept criticism and feedback and adjust behavior accordingly to improve performance. Demonstrate flexibility and proactively take on additional work as needed by the team, leading by example. + Represent department's perspectives and needs in cross disciplinary settings, and negotiate appropriate compromises and solutions in a way that results in effective action. Tailor work to the needs of direct management and business partners and make recommendations that have an impact beyond their role. Assume responsibility for own actions and the consequences for actions undertaken and decisions made. + Other duties as assigned or requested. **EDUCATION** **Required** + Bachelor's Degree in Actuarial Science, Mathematics, Statistics or closely related field **Substitutions** + None **Preferred** + None **EXPERIENCE** **Required** + 5 years Actuarial experience in area of specialization **Preferred** + Pursuing FSA exams towards FSA Certification + Prior pharmacy experience with a pharmacy benefit manager (PBM), consultant, pharmacy provider, or another organization specializing in pharmacy **LICENSES AND CERTIFICATIONS** **Required** + Associate of the Society of Actuaries (ASA) **Preferred** + Fellow of the Society of Actuaries (FSA) **SKILLS** + Possesses and applies a comprehensive and in-depth knowledge of actuarial principles, concepts, practices and processes within multiple fields or disciplines + Possesses significant expertise to complete complex assignments and ability to visualize, articulate, and solve complex problems while leading others to complete complex assignments + Develops, designs, and tests analytic frameworks to solve complex problems using innovative approaches + Assignments are broad in scope and require depth of knowledge as well as ingenuity and originality + Analytical Skills + Oral & Written Communication Skills + Problem-Solving **Language (Other than English):** None **Travel Requirement:** 0% - 25% **PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS** **Position Type** Office-based Teaches / trains others regularly Frequently Travel regularly from the office to various work sites or from site-to-site Rarely Works primarily out-of-the office selling products/services (sales employees) Never Physical work site required Frequently Audible Speech Constantly Hear Constantly Position self or move lower on ground, under tables/desks, etc. Never Climb Never Drive Occasionally Reach Frequently Sedentary position Frequently Move Frequently Repetitive Motion Frequently Use Hands/Fingers to Handle or Feel (beyond just data entry) Frequently Vision - Distinguish Color Frequently Vision - Far, Near, Depth Perception Frequently Move, transport, transfer - up to 10 lbs (Sedentary Work) Occasionally Move, transport, transfer - up to 20 lbs (Light Work) Occasionally Move, transport, transfer - up to 50 lbs (Medium Work) Occasionally Move, transport, transfer - excess of 50lbs (Heavy Work) Never **_Disclaimer:_** _The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job._ **_Compliance Requirement:_** _This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies._ As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company's Handbook of Privacy Policies and Practices and Information Security Policy. Furthermore, it is every employee's responsibility to comply with the company's Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements. **Pay Range Minimum:** $78,900.00 **Pay Range Maximum:** $147,500.00 _Base pay is determined by a variety of factors including a candidate's qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets._ Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, age, religion, sex, national origin, sexual orientation/gender identity or any other category protected by applicable federal, state or local law. Highmark Health and its affiliates take affirmative action to employ and advance in employment individuals without regard to race, color, age, religion, sex, national origin, sexual orientation/gender identity, protected veteran status or disability. EEO is The Law Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled/Sexual Orientation/Gender Identity ( _********************************************************************************************************* ) We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact number below. For accommodation requests, please contact HR Services Online at ***************************** California Consumer Privacy Act Employees, Contractors, and Applicants Notice Req ID: J256310

**Become a part of our caring community and help us put health first** The Actuary, Analytics/Forecasting analyzes and forecasts financial data to provide accurate and timely information for strategic and operational decisions. Establishes metrics, provides data analyses, and works directly to support business intelligence. The Actuary, Analytics/Forecasting works on problems of diverse scope and complexity ranging from moderate to substantial. The Actuary, Analytics/Forecasting ensures data integrity by developing and executing necessary processes and controls around the flow of data. Collaborates with stakeholders to understand business needs/issues, troubleshoots problems, conducts root cause analysis, and develops cost effective resolutions for data anomalies. Advises executives to develop functional strategies (often segment specific) on matters of significance. Exercises independent judgment and decision making on complex issues regarding job duties and related tasks, and works under minimal supervision, Uses independent judgment requiring analysis of variable factors and determining the best course of action. The Actuary, Analytics/Forecasting will play a key role in the Medicare actuarial forecasting process. This position entails the ownership and maintenance of the provider revenue and expense projection model. The Actuary will be responsible for integrating value-based provider impacts into financial and bid forecasts, managing tools associated with these impacts, and providing expert guidance on effective risk modeling practices. **Use your skills to make an impact** **Required Qualifications** + Bachelor's Degree + FSA or ASA plus relevant advanced degree, recent and relevant work experience, and/or other relevant professional designations. + MAAA + Strong communication skills + Experience in more than two functions (e.g., modeling, pricing, rate filing, reporting & analysis, reserving or trending) **Preferred Qualifications** + Strong technical skills and experience working with: SQL/VBA/Excel + Experience with Medicare **Scheduled Weekly Hours** 40 **Pay Range** The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. $129,300 - $177,800 per year This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. **Description of Benefits** Humana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities. Application Deadline: 04-29-2025 **About us** Humana Inc. (NYSE: HUM) is committed to putting health first - for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large. **Equal Opportunity Employer** It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or veteran status. It is also the policy of Humana to take affirmative action to employ and to advance in employment, all persons regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment. Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our ***************************************************************************

Job Title: Internship - Knowledge Science Number of Positions: 12 This internship is scheduled to start Summer Semester 2025. At Delta Dental of Michigan, Ohio, and Indiana we work to improve oral health through benefit plans, advocacy and community support, and we amplify this mission by investing in initiatives that build healthy, smart, vibrant communities for all. We are one of the largest dental plan administrators in the country, and are part of the Delta Dental Plans Association, which operates two of the largest dental networks in the nation. At Delta Dental, we celebrate our All In culture. It's a mindset, feeling and attitude we wrap around all that we do - from taking charge of our careers, to helping colleagues and lending a hand in the community. We are looking for a highly talented and motivated undergraduate student who is pursuing a degree in Computer Science, Computer Engineering, or related technical fields. As a Knowledge Science Intern, you will: Work on cutting-edge knowledge-based computation platforms Contribute to next-generation Al-enabled business rules frameworks, including Decision Modeling/Orchestration, Decision as a Service (DaaS), Domain Specific Language (DSL), etc. Gain first-hand experience on modern system architecture, such as Service-Oriented Architecture (SOA), Event-Driven Architecture (EDA) and enabling technology such as REST, JSON, Kafka, containerization, etc. Apply the fundamentals from Computer Science/Engineering curriculum onto real-world problems. Communicate your work to other teams and develop your skills explaining technical subjects to a business audience A successful candidate will: Be self-motivated and able to contribute in a team setting Excel at problem solving, with strong analytical and critical thinking skills Have demonstrated experience programming in at least one of the mainstream languages such as Java, Python, C++, etc. Show solid skills in data structure and algorithms design/analysis Have good understanding of software architecture, Object-Oriented (00) analysis/design, and commonly-used design patterns such as factory, composite, etc. Demonstrate understanding of core mathematical concepts for Computer Science, such as mathematical logic, set theory, etc. #LI-Hybrid Minimum Requirements: Must be currently enrolled in an undergraduate or graduate program and have completed at least one course or equivalent experience with programming in Java, Python, C++, or other similar languages. The company will provide equal employment and advancement opportunity within the context of its unique business environment without regard to race, color, religion, gender, gender identity, gender expression, age, national origin, familial status, citizenship, genetic information, disability, sex, sexual orientation, marital status, pregnancy, height, weight, military status, or any other status protected under federal, state, or local law or ordinance.

**Job Title - Sr. Data Scientist** + **Job Summary:**We are seeking a highly skilled and experienced Principal Data Scientist to lead our data science initiatives, specifically focusing on developing and implementing **Price Elasticity** , Promotional Effectiveness, and Decomposition Models. This role will play a critical part in driving data-driven decision-making and optimizing pricing strategies to enhance business performance.**Key Responsibilities:**- Lead the development and implementation of advanced statistical models to analyze price elasticity, promotional effectiveness, and sales decomposition.- Collaborate with cross-functional teams, including marketing, finance, and product management, to understand business needs and translate them into data-driven solutions.- Design and conduct experiments to test pricing and promotional strategies, and analyze the results to provide actionable insights.- Develop and maintain scalable data pipelines and infrastructure to support model development and deployment.- Mentor and guide junior data scientists and analysts, fostering a culture of continuous learning and innovation.- Communicate complex analytical concepts and results to non-technical stakeholders in a clear and concise manner.- Stay up-to-date with the latest advancements in data science, machine learning, and statistical modeling techniques.**Qualifications:**- Master's in Data Science, Statistics, Computer Science, Mathematics, or a related field.- Proven experience in developing and implementing price elasticity, promotional effectiveness, and decomposition models.- Strong proficiency in programming languages such as Python, R, and SQL.- Expertise in machine learning techniques, statistical modeling, and data analysis.- Excellent problem-solving skills and the ability to work independently and collaboratively.- Strong communication skills with the ability to present complex information to diverse audiences.- Experience with big data technologies and cloud platforms Azure is a plus.**Preferred Skills:**- Experience in the retail or consumer goods industry.- Familiarity with data visualization tools Power BI or any other UI tool for Scenario building- Knowledge of A/B testing and experimental design **LI-PT1** **Salary and Other Compensation:** Applications will be accepted until Jan 3rd 2025. The annual salary for this position is between $120- 175Kdepending on experience and other qualifications of the successful candidate.This position is also eligible for Cognizant's discretionary annual incentive program and stock awards, based on performance and is subject to the terms of Cognizant's applicable plans. **Benefits** : Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:Medical/Dental/Vision/Life InsurancePaid holidays plus Paid Time Off 401(k) plan and contributions Long-term/Short-term DisabilityPaid Parental LeaveEmployee Stock Purchase Plan **Disclaimer:** The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law

If you are an internal associate, please login to Workday and apply through Jobs Hub. Job PurposeResponsible for complex actuarial projects in product development, financial modeling, financial reporting, risk analysis, or data analysis assignments, as applicable. Independently performs activities related to the application of advanced actuarial principles for insurance/finance. Through collaboration with technical teams, leads projects associated with the development of actuarial models, databases, and methodologies.Essential Responsibilities Actively participates in or leads small team meetings, cross-functional team meetings and meetings with senior management. Manages own time and works with manager to set priorities, set deadlines and share project status. Communicates with peers, manager, and senior management orally and in writing, using such tools as email and Microsoft Teams. Assists in communication with external parties. Composes reports presenting analysis to senior management. Creates and maintains model documentation in accordance with Jackson's Model Risk Management Policy, as needed. Recommends and provides manager level review of changes to the coding and structure of actuarial tools, as assigned. Leads processes for production of actuarial output, such as calculated reserves, cash flow projections, product pricing, experience data, etc. Analyzes and validates actuarial output. Develops improvements in methods and procedures as necessary to improve efficiency and controls. Leads small team and cross-functional projects, creating project plans and assigning tasks. Mentors junior associates on technical topics and trains them to perform processes. Serves as an expert resource for selected areas of regulatory, professional, or technical knowledge. Other Duties Performs other duties and/or projects as assigned. Knowledge, Skills and Abilities Advanced knowledge of actuarial mathematics/concepts and ability to lead others in applying those concepts to work product. Advanced knowledge of one or more of insurance product lines (life, annuities). Expert in at least one key field of actuarial work (pricing, financial reporting, data analysis, or modeling). General understanding of at least one other key field of actuarial work. Expert knowledge of at least one actuarial application used by Jackson, such as SAS, Python, ALFA, etc. Ability to train associates in the use of Jackson actuarial applications. Ability to guide others in following processes and running actuarial models or programs. Ability to effectively communicate with actuarial associates at all levels and across functional teams, as well as assist in communications with external parties, verbally and in written form. Ability to write effective formal reports for senior actuarial management and for members of other functional teams. Ability to lead and add value in cross-function team meetings. Ability to work on multiple projects, meet deadlines, and prioritize work based on minimal guidance. Ability to organize and lead projects. Ability to perform manager level review of processes and implementations of changes to actuarial tools. Qualifications Bachelor's Degree in Actuarial Science, Mathematics, Statistics, Economics, Computer Science, or related field of study required. 5+ years actuarial experience and FSA or 8+ years actuarial experience and ASA required. 7+ years actuarial experience and FSA or 10+ years actuarial experience and ASA preferred. Life and annuity experience preferred. Continuing efforts to pursue Fellow of the Society of Actuaries (FSA) preferred. We don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Jackson is proud to be an equal opportunity workplace. The Company subscribes to and endorses federal and state laws and regulations relating to equal employment opportunity for all persons without regard to race, color, religion, gender, age, national origin, legally-recognized disability, marital status, legally-protected medical condition, citizenship, ancestry, height, weight, sexual orientation, veteran status, or any other factor not related to the needs of the job. The Company is committed to a policy of equal opportunity. Company facilities and campuses are tobacco-free environments.

USM Business Systems Inc. is a quickly developing worldwide System Integrator, Software and Product Development, IT Outsourcing and Technology assistance supplier headquartered in Chantilly, VA with off-shore delivery centers in India. We offer world-class ability in giving most astounding quality and administrations through industry best practices planned to convey remarkable worth to our customers. Utilizing our industry knowledge, administration service offering expertise and innovation abilities, we distinguish new business and innovation slants and create answers for help customers around the globe, giving top of the line solid and practical IT benefits which are cost effective services. Established in 1999, the organization has corner qualities in building and dealing with a Business Oriented IT environment with rich involvement in technology innovation, ERP and CRM counselling, Product Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings include modified solutions and administrations in ERP, CRM, Enterprise architecture, offshore advisory services ,e-commerce, Social , Mobile, Cloud, Analytics (SMAC) and DevOps. USM, a US ensured Minority Business Enterprise (MBE) is perceived as one of the fastest developing IT Systems Integrator in the Washington, DC zone. Most as of late, USM was positioned #9 on the rundown of the Top administrations organizations in the DC Metro Area - Washington Business Journal (2011). We are a project-driven firm that reliably meets the IT needs of our State and Government customers through development and business keenness. Job Description FileNet/DataCap Consultant Duration: 12+ months plus Location: Lansing, MI Need GC,USC, TN,GC-EAD TOP SKILLS: 1 FileNet/DataCap 2 Application Development 3 Communication Additional Information If you are interested in the below position please forward your profile to preethib@usmsystems(dot)com or call me on ************.

The data standard consultant is responsible for statistical programming activities in support of Data Standards stewardship across all compounds/vendors, including collaboration within Data Sciences, Clinical Development, and other functional representatives to develop, maintain and document clinical data standards. This role also acts as a statistical programming subject matter expert (SME) to support outsourced/internal SDTM programming activities, including the data standards technical decision-making to oversee and ensure the quality and timely delivery of SDTM deliverables. He/she will also consult or support development and dependencies across other related Data Standards (i.e., Analysis Dataset models). He/she will support the overall planning, governance and oversight of data standards activities to ensure proper utilization and adherence of data standards. **Key Responsibilities** + Provides technical and/or operational guidance in the application of industry clinical data standards within the statistical programming data flow (i.e., SDTM, ADAM, DEFINE) for clinical studies, drug programs, and/or in support of drug application submissions + Provides data standards governance support in alignment with the vision developed by the Sponsor's Data Standards Council, department Leadership, and industry-based standards policies and procedure + Ensures study or program-level SDTM datasets are in compliance with CDISC and regulatory submission requirements, reviews study submission data packages to ensure quality and integrity + Participates on department data and analytics systems strategy and/or technical development initiatives including systems and technology integration, data sharing, analysis, transfer/access and storage platforms or utilities + Participates in clinical data technology-based initiatives **Qualifications** + Minimum of 5 years' industry (Pharmaceutical, Biotech, CRO) SAS programming experience or equivalent. + Minimum of 3 years data standards experience, specifically SDTM compliance and oversight. + Experience supporting Data Standards including data standard governance activities, decision-making and training/communication. + Expert understanding of CDISC standards; including but not limited to CDASH, SDTM, ADAM, Controlled Terminology, DEFINE. + Experience working with managing data standards using a Meta Data Repository preferred. + Excellent written and oral presentation and interpersonal, organizational, analytical, project management and multi-tasking skills. + Bachelor's Degree required in areas of computer science, statistics, mathematics or information sciences, MBA, advanced degree and / or Project Management certification preferred. + Clear alignment with the sponsor Core Values: + Commitment to People + Innovation and Discovery + Sense of Urgency + Open Culture + Passion for Excellence Cytel Inc. is an Equal Employment / Affirmative Action Employer. Applicants are considered for all positions without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or expression, or any other characteristics protected by law.

Everything we do at Sunrun is driven by a determination to transform the way we power our lives. We know that starts at the individual employee level. We strive to foster an environment you can thrive in through our commitment to diversity, inclusion and belonging. This position is primarily remote, with occasional visits to a local office or our corporate headquarters for team-building, training, and collaborative project work. These on-site sessions are designed to strengthen connections, share insights, and ensure a seamless experience for our team and customers. Equipment pick-up from a local branch will be required. We will provide advance notice whenever on-site attendance is required, making these times purposeful and rewarding. **Overview** We are seeking a Staff Software Engineer with expertise in data engineering. In this role, you will manage the entire data engineering lifecycle, which includes ingesting data from IoT devices, transforming and aggregating that data, and presenting it through backend APIs for both external and internal products. Your work will guide the technical direction of key applications, such as Grid Services and the Sunrun Customer Application. Additionally, you will take a lead role in transforming our data systems into self-healing, reliable, and proactive solutions. On this team, you will develop the data infrastructure and pipelines necessary to ingest and process IoT data from over 1 million solar and storage systems. This data is utilized across our company to ensure accurate billing, maintain system uptime, performance analyses, and provide valuable insights for our customers. **Responsibilities** + Technical Leadership: Help establish development and architectural standards within the team, promoting technical excellence and best practices. + Collaboration: Work closely with Product Management, DevOps, and other team members to develop applications that are easily testable and perform well under diverse network conditions. + Data Availability: Ensure consumers have access to the data they need for informed decision-making, focusing on data availability and reliability. + Best Practice Adherence: Champion the adherence to best-practice development methodologies throughout the software development process. + Data Pipelines: Build and maintain streaming and batch data pipelines to efficiently process and manage data. + Algorithm and Software Component Design: Design and code scalable and secure algorithms, data structures, and software components. + Documentation: Maintain clear and comprehensive documentation for code, systems, and processes. + Code Reviews: Lead design and code reviews to ensure high-quality code and knowledge sharing within the team. + Automated Testing: Facilitate automated testing to enable rapid innovation and ensure the stability of applications. + Mentorship: Mentor and help build skills across the team through standards setting, code reviews, and pair programming. + Performance Tuning: Optimize production applications to maximize efficiency and performance. + Metrics and Analysis: Develop ongoing metrics, analysis, and dashboards to guide important decisions and monitor system performance. **Qualifications** + Education: A Bachelor's or Master's degree in Computer Science or a related field is preferred. + Experience: A minimum of 5 years of hands-on experience in developing enterprise applications with Java, Python, and Javascript. + Extensive experience working with large-scale, high-performance data processing systems, including batch and streaming. + Leadership: Strong leadership skills with the ability to mentor and guide team members. + Cloud Platforms: Extensive experience with AWS cloud platform, some familiarity with GCP cloud platform is a plus + Database Knowledge: Proficiency in both relational and NoSQL databases. + Cloud Services: Familiarity with various cloud services and serverless architectures. + Microservices Development: Proven experience in developing microservices and Lambdas using JavaScript/TypeScript. + Enterprise Environment: Prior experience working in complex enterprise environments and developing complex programs. + API Development: Strong expertise in REST API architecture and development. + Automation: A focus on automation, including CI/CD practices and test automation. + Agile/SCRUM: Experience with Agile/SCRUM software development methodologies. + Security Practices: Strong understanding of security practices and data protection. **Recruiter:** Kristina Sedjo (*************************) _Please note that the compensation information that follows is a good faith estimate for this position only and is provided pursuant to acts, such as The Equal Pay Transparency Act. It assumes that the successful candidate will be located in markets within the United States that warrant the compensation listed._ _Candidates in locations outside this local area may have a different starting salary range for this opportunity which may be higher or lower._ _Please speak with your recruiter to learn more._ _Starting salary/wage for this opportunity:_ 188,520.49 to 226,224.59 Sunrun provides a variety of benefits to employees, including health insurance coverage, a wellbeing program, life and disability insurance, a retirement savings plan, paid holidays, and paid time off (PTO). Other rewards may include annual bonus eligibility, based on both company and individual performance, as well as short- and long-term incentives and program-specific awards. Compensation decisions will not be based on a candidate's salary history. **_Please note: Employee benefits do not apply to our Fusion and Street Sales roles, which are 100% commission-based, (1099-NEC) positions._** This description sets forth the general nature and level of the qualifications and duties required of employees in this job classification, as well as some of the essential functions of this role. It is not designed to be a comprehensive inventory of all essential duties and qualifications. If you have a disability or special need that may require reasonable accommodation in order to participate in the hiring process or to perform this role if you are offered employment, please let us know by contacting us at ********************************* . Sunrun is proud to be an equal opportunity employer that does not tolerate discrimination or harassment of any kind. Our commitment to Diversity, Inclusion & Belonging drives our ability to build diverse teams and develop inclusive work environments. At Sunrun, we believe that empowering people and valuing their differences are essential for our mission of connecting people to the cleanest energy on earth. We are committed to equal employment opportunities without consideration of race, color, religion, ethnicity, citizenship, political activity or affiliation, marital status, age, national origin, ancestry, disability, veteran status, sexual orientation, gender identity, gender expression, sex or gender, pregnancy or any other basis protected by law. We also consider qualified applicants with criminal convictions, consistent with applicable federal, state and local law. Sunrun is proud to be an equal opportunity employer that does not tolerate discrimination or harassment of any kind. Our commitment to Diversity, Inclusion & Belonging drives our ability to build diverse teams and develop inclusive work environments. At Sunrun, we believe that empowering people and valuing their differences will help us create a planet run by the sun for everyone. We are committed to equal employment opportunities without consideration of race, color, religion, ethnicity, citizenship, political activity or affiliation, marital status, age, national origin, ancestry, disability, veteran status, sexual orientation, gender identity, gender expression, sex or gender, pregnancy or any other basis protected by law. We also consider qualified applicants with criminal convictions, consistent with applicable federal, state and local law.

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all. The exceptional EY experience. It's yours to build. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY is seeking a motivated professional with solid experience in the industrials, energy or utilities sector to serve as a Senior AI Data Engineer who possesses a robust background in AI, Gen AI, Agentic AI, preferably with an electrical engineering background. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the industrials, energy, and utilities sector, where the successful candidate will craft, deploy, and maintain large-scale AI data architectures. **The opportunity** As a Senior Data Engineer, you will be at the forefront of designing and implementing analytics solutions that drive substantial business value. You'll work closely with a diverse group of stakeholders to translate complex business requirements into precise technical specifications. Your role is crucial in bridging the gap between business needs and technical solutions, ensuring the successful execution of data-driven projects. **Your key responsibilities** In this role, you will design, develop, and maintain scalable data architectures, both on-premises and in the cloud. You'll manage the efficient storage, integration, validation, and security of data throughout its lifecycle. Your contributions will be vital to the delivery of processes, solutions, or projects, requiring you to exercise judgment and select appropriate methodologies to inform recommendations. You will be responsible for meeting your own targets, which will impact the performance of your team, and may guide junior colleagues to achieve project deliverables. + Design and implement scalable data architectures + Ensure efficient data lifecycle management + Contribute to the delivery of key projects and solutions + Architect and refine AI data architecture and modern data pipelines, integrating agentic AI solutions for clients in the industrials, energy, or power and utility sectors. + Leveraging your knowledge of industrials, energy or power and utility systems and processes to define data requirements, gather, profile and analyze large scale structured and unstructured source data, and develop AI/GenAI/Agentic AI solutions + Develop the mechanisms to ingest, analyze, validate, normalize, and clean data to support standardization, customization and ad hoc data analysis needs + Evaluate and implement cutting-edge tools and methodologies to enhance data engineering productivity. + Collaborate with a diverse team of business analysts, solution architects, and data scientists to develop strategic enterprise solutions and data products. **Skills and attributes for success** To excel in this role, you should demonstrate expertise in cloud computing, data architecture design, data integration, and software engineering. Your ability to manage relationships, think critically, and adapt with emotional agility will be key to your success. + A deep understanding of the value chain and core processes within the energy, or power systems sectors. + Proficiency in AI, GenAI/Agentic AI, relational SQL databases, DevOps, continuous integration, and data lake concepts. + A proven ability to design and maintain complex data integrations and ETL pipelines. + Strong organizational skills, capable of leading projects across globally distributed teams. + Exceptional communication skills and the ability to troubleshoot complex data issues. + Collaborate with stakeholders to define technical specifications + Participate in client sessions and lead workstream teams + Manage resource plans, budgets, and project statuses **To qualify for the role, you must have** + A Bachelor's degree in electrical/Power Systems Engineering, AI, Computer Science, Data Science, or a related field. + At least 5 years of experience in data engineering, AI, and analytics. + At least 5 years of experience in the power and utilities sector. + A track record of implementing complex data solutions and familiarity with cloud services, data engineering programming languages, and data architecture. + Demonstrated understanding and experience using: + AI, GenAI/Agentic AI + Relational SQL databases + DevOps and continuous integration + Microsoft Fabric, Databricks/Snowflake + GitHub + Experience in cloud computing, data architecture design, data integration, and software engineering + Professional certifications as defined by service line policies + Relationship management skills + Critical thinking and emotional agility **Ideally, you'll also have** + Proven ability to navigate complex issues and make informed decisions + Experience in supervising and guiding junior team members + Demonstrated participation in sales opportunities and RFP responses + Leadership experience with a focus on team development and mentorship. + A passion for leveraging emerging technologies to address real-world problems. + A commitment to creating an inclusive work environment that celebrates diversity. **What we look for** We seek top performers with a keen eye for detail, a passion for data-driven solutions, and the ability to thrive in a collaborative environment. Your proactive approach to problem-solving, combined with your technical expertise, will set you apart as a candidate. FY25NATAID **What we offer** We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $105,100 to $192,700. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $126,100 to $218,900. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. + **Continuous learning:** You'll develop the mindset and skills to navigate whatever comes next. + **Success as defined by you:** We'll provide the tools and flexibility, so you can make a meaningful impact, your way. + **Transformative leadership:** We'll give you the insights, coaching and confidence to be the leader the world needs. + **Diverse and inclusive culture:** You'll be embraced for who you are and empowered to use your voice to help others find theirs. EY accepts applications for this position on an on-going basis. **If you can demonstrate that you meet the criteria above, please contact us as soon as possible.** EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. For those living in California, please click here (********************************************************************************************************************************************************************** for additional information. _EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. _ _EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at_ _**************************_ _._

**A Day in the Life:** The Senior Data Engineer will be responsible for building and maintaining data pipelines and workflows that support ML, BI, analytics, and software products. This individual will work closely with data scientists, data engineers, analysts, software developers and SME's within the business to deliver new and exciting products and services. The main objectives are to develop data pipelines and fully automated workflows to drive operational efficiency and effectiveness by enabling data-driven decisions across the organization. This includes fostering collaboration, building partnerships, co-developing products, sharing knowledge, providing insights and valuable predictive information to business teams and leaders to highlight potential risks and opportunities that initiate the drive for change. We expect the starting salary to be around $135k but will be commensurate with experience. **What You'll Do:** + Building, maintaining, optimizing, and automating data pipelines in both cloud and on-premise infrastructure. + Data acquisition, data ingestion, data cleansing, data transformation, and data migration. + Design, implement, and test data integrations and ETL processes and provide detailed documentation. + Improving data integrity and quality and implementing modern solutions and frameworks to streamline existing processes. + Identify trends in datasets and develop workflows and help with streaming analytics to take advantage of raw data flows. + Identify opportunities for data acquisition from internal and external sources. + Curate rich datasets and prepare data for predictive and prescriptive modeling. + Strive to engineering excellence by simplifying, optimizing, and automating processes and workflows. + Ensures data sets are thoroughly tested before release to production environments. + Mentor junior level data Engineers and data analysts in best practices for data preparation and modeling **What We're Looking For:** + A bachelor's degree or higher in Computer Science or related field or equivalent experience + Master's degree preferred + Minimum of 8 years hands-on experience in a data engineering or ETL development role + Minimum 2 years of intensive experience with data lakes, preferably running on the AWS cloud platform + Strong problem solving and critical thinking skills with a proven record for identifying and diagnosing problems, and solving complex problems with simple, logical solutions. + Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate technical and non-technical issues and concepts to multiple organization levels. + Strong expertise with modern data lake tools such as Databricks or PySpark + Experience with ETL tools such as Informatica + Experience with event driven architectures and data streaming pub/sub technologies such as Kafka and Amazon Kinesis + Strong capabilities in languages such as Python, R, Scala or Java + Agile/Scrum experience **What You'll Get:** + Up to 40% off the base rate of any standard Hertz Rental + Paid Time Off + Medical, Dental & Vision plan options + Retirement programs, including 401(k) employer matching + Paid Parental Leave & Adoption Assistance + Employee Assistance Program for employees & family + Educational Reimbursement & Discounts + Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness + Perks & Discounts -Theme Park Tickets, Gym Discounts & more The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world. **US EEO STATEMENT** At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company. Individuals are encouraged to apply for positions because of the characteristics that make them unique. EOE, including disability/veteran