Data Scientist Jobs in Colonie, NY

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

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.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, 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 product 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, Product Analytics 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. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 8. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 9. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/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.

Tuvli, an Akima company, is hiring for a Data Scientist to support our DoS client located in Washington, DC. Position shall provide support services to include#data modeling, programming, maintaining, optimizing, and retrieving CSO/AA data, and product generation#to complement the skills of existing staff in order to satisfy current and future demand for services provided to internal and interagency customers. Responsibilities + Advise and consult with AA leadership on the development and instantiation of data science capacity within AA's existing workflows. + Adhere to and integrate Political Science and Conflict theory into the formulation of data science-based products. + Working with existing staff, conceptualize, design, build, populate, test, and analyze products using data science techniques. + Facilitate the ETL process to optimize data ingestion, cleaning, joining, merging, and automation for use in AA and IMAP products. + Assist AA staff in identifying best practices in the ingestion, storage, retrieval, and retirement of data. + Identify and facilitate the ingestion or generation of new sources of data relevant to CSO's work. Qualifications + Master's degree Computer Science, Statistics, Analytics, or related field. + At least four years of relevant proven experience in the field of data science. + A history of creative problem solving and successfully collaborating with cross functional teams. + Ability to thrive in a fast-paced environment. + Expert user of R and/or Python. + Expertise in SQL and working with RDBs. + Experience with the Extract, Transform, and Load (ETL) process and its implementation. + Experience working with Application Programming Interfaces (API). + Experience automating analytical processes. + Familiarity with ArcGIS and Tableau preferred. + Previous work or experience working with conflict data or work in the fields of foreign policy, national security, or international relations preferred. + Ability to overcome infrastructural limitations through creative use of available tools and resources. + Active TS/SCI clearance. Posted Salary Range 140,974.40 - $145,974.40 Benefits Information Regular - The company offers a comprehensive benefits program, including medical, dental, vision, life insurance, 401(k) and a range of other voluntary benefits. Paid Time Off (PTO) is offered to regular full-time and part-time employees. We are an equal opportunity employer and comply with all applicable federal, state, and local fair employment practices laws. All applicants will receive consideration for employment, without regard to race, color, religion, creed, national origin, gender or gender-identity, age, marital status, sexual orientation, veteran status, disability, pregnancy or parental status, or any other basis prohibited by law. If you are an individual with a disability, or have known limitations related to pregnancy, childbirth, or related medical conditions, and would like to request a reasonable accommodation for any part of the employment process, please contact us at ******************** or ************ (information about job applications status is not available at this contact information). Job: Program & Project Management Travel: Yes, 25% of the time Organization: Tuvli Clearance: TS/SCI Work Type: Remote Remote: No ReqID: 2024-13076

Locations: Boston | Chicago | Pittsburgh | Washington | New York | Brooklyn | Miami | Dallas | San Francisco | Seattle | Los Angeles | Manhattan Beach Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. Our Data Scientists and Senior Data Scientist are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative. What You'll Bring We are looking for dedicated individuals with a passion for data science, statistics, operations research and redefining organizations into AI led innovative companies. Successful candidates possess the following: * Comfortable in a client-facing role with the ambition to lead teams * Likes to distill complex results or processes into simple, clear visualizations * Explain sophisticated data science concepts in an understandable manner * Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) * Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data * Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients * Have strong project management skills TECHNOLOGIES: Programming Languages: Python #LI-DNI #BCGXjob Additional info FOR U.S. APPLICANTS: BCG is an Equal Employment Opportunity employer and is committed to a policy of administering all employment decisions and actions without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. The first-year base compensation for this role is: Data Scientist I: $110,000 USD Data Scientist II: $145,000 USD Data Scientist III: $160,000 USD Senior Data Scientist: $190,000 USD At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees - and their eligible family members. * That's zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: * Zero-dollar ($0) health insurance premiums for BCG employees, spouses, and children * Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs * Dental coverage, including up to $5,000 in orthodontia benefits * Vision insurance with coverage for both glasses and contact lenses annually * Reimbursement for gym memberships and other fitness activities * Fully vested Profit-Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan * Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement * Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) * Paid sick time on an as needed basis * Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

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.

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 (***************************************************************************************************************************

See yourself at Radian? We see you here too. At Radian, we see you. For the person you are and the potential you hold. That's why we've embraced a new way of working that lets our people across the country be themselves, be their best and be their boldest. Because when each of us is truly seen, each of us gives our best - and at Radian, we'll give you our best right back. Studies have shown that job seekers may hesitate to apply for jobs unless they meet every single qualification listed. We strive to see the potential in each applicant, so if you're excited about this role but your experience or education level doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. See Yourself as a Data Scientist II The Data Scientist II primary function is estimating, validating, monitoring, and implementing consumer credit models focused on mortgage default and prepayment. This requires the use of statistical and econometric methods within a structural modeling framework while leveraging cloud computing solutions. Models will be applied to estimate mortgage insurance cash flows including claim incidence, claim severity, required capital, expected premium, return on equity, existing mortgage insurance policy attrition, and new insurance policy acquisition. The position requires the Data Scientist II to research, develop and make recommended changes to existing models and new models. Cash flow valuation of primary mortgage insurance policies, structured mortgage insurance policies, mortgage-backed derivatives, reinsurance, and other risk-transfer transactions are also within the position's scope of analysis. Additional responsibilities may include supporting economic scenario simulation, economic capital, and portfolio optimization. Responsibilities include leveraging machine learning, AI and econometrics in hybrid model design using Big Data and unstructured data to cultivate and leverage business insights. The position requires the ability to effectively communicate technical findings and recommendations to nontechnical managements teams. Primary Duties and Responsibilities: Delinquency, default, prepayment, claim severity model estimation and design. Programming in support of model estimation, implementation, monitoring, and back testing Creation of analytical presentations and communication of strategic business findings to management Analysis and recommendations on alternative credit structures, risk sharing arrangements, and/or non-traditional manners in which to participate and take on credit risk as appropriate and necessary. Data manipulation of large files (R, Python, or SAS datasets) to identify trends and make recommendations and/or adjustments to credit/portfolio guidelines as necessary. Model development and methodology research Perform other duties as assigned or apparent. Qualifications: Strong understanding of probability modeling. Strong analytical background, along with the ability and willingness to effectively make recommendations on transactions based on sound business judgment. Knowledge in SAS, R, C++ or python for data analysis and modeling. Experience leveraging AWS based applications and resources (EC2, EMR, S3, Lambda, Jupyter Notebook, Zeppelin, Spark) is desirable. Expert mathematical, statistical, and econometric knowledge. Strong understanding of financial analysis of structured mortgage products. Experience leveraging cloud computing. Able to work in a team environment. Able to effectively summarize and communicate relevant findings and other information. Education, Certifications and Prior Work-Related Experience: Degree Requirement: Bachelor's degree or foreign equivalent and 3 years of experience Degree Preferred: Master's degree or foreign equivalent and 1 year of experience. Certifications: Quantitative Field See Your Location Radian is committed to a flexible work environment for many of our roles. This role is hybrid (on site 3 days per week) and will provide you the flexibility to work both in our New York City office and at your designated * Work From Anywhere * location each week. * Work From Anywhere is subject to Radian's Alternative Work Policy and business needs See Why You Should Work With Us Competitive Compensation: anticipated base salary from $96,450 to $137,700 based on skills and experience. This position is eligible to participate in an annual incentive program. Rest and Relaxation. This role is eligible for 25 days of paid time off annually, which is prorated in the year of hire based on hire date. In addition, based on your hire date, you will be eligible for 9 paid holidays + 2 floating holiday in support of our DEI culture. Parental leave is also offered as an opportunity for all new parents to embrace this exciting change in their lives. Our Company Makes an Impact. We've been recognized by multiple organizations like Bloomberg's Gender-Equality Index, HousingWire's Tech 100, and The Forum of Executive Women's Champion of Board Diversity. Radian has also pledged to PwC's CEO Action for Diversity & Inclusion commitment. Comprehensive Health Benefits. Multiple medical plan choices, including HSA and FSA options, dental, vision, and basic life insurance. Prepare for your Future. 401(k) with a top of market company match ( did we mention the company match is immediately vested?! ) and an opportunity to participate in Radian's Employee Stock Purchase Plan (ESPP). Homebuyer Perks. Our Homebuyer Perks program helps employees navigate the home searching, buying, selling, and refinancing processes and provides valuable financial benefits to encourage, enable, and support home ownership. Additional Benefits. To learn more about our benefits offerings, visit our Benefits Page. #LI-NA1 The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Radian will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law. See More About Radian Radian is a fintech servicing the mortgage and real estate services industry. As a team, we pride ourselves on seeing the potential of every person, every idea and every day. Seeing each other at Radian goes far beyond our open, flexible culture. It means seeing our people's potential - and creating inspiring career paths that help them get there. Or seeing new pathways and innovating for the future of our industry. It means seeing each other for all that we are. And it means seeing our purpose as one that extends beyond the bottom line - having an impact on communities across the country to help more people achieve the American Dream of homeownership. We hope you'll see yourself at Radian. See more about us at Radian.com. Defining Roles for Radian's Future Understanding the qualities and characteristics that define a Leader and an Employee is important to building our future-fit workforce. Radian's future is only as bright as its people. For that reason, our People Plan includes profiles to support the qualities and characteristics that each Leader as well as each Employee should embody upon hire or via development. EEO Statement Radian complies with all applicable federal, state, and local laws prohibiting discrimination in employment. All qualified applicants will receive consideration for employment without regard to gender, age, race, color, religious creed, marital status, gender identity, sexual orientation, national origin, ethnicity, ancestry, citizenship, genetic information, disability, protected veteran status or any other characteristic protected by applicable federal, state, or local law. An applicant's criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. The material duties include those listed in the “Primary Duties and Responsibilities” section above, as well as the ability to adhere to Company policies, exercise sound judgment, effectively manage stressful situations, work safely and respectfully with others, exhibit trustworthiness, and safeguard confidential information belonging to the Company and its customers. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Equal Opportunity Employer Details To learn more about Radian's Code of Conduct and Ethics and workplace conduct, please click [here]. Radian participates in E-Verify [Link] (en español [Link]). Learn more about your rights under immigration laws [Link] (en español [Link]). View the "Know Your Rights: Workplace Discrimination is Illegal" poster [Link]. View “Employee Rights under FMLA” [Link]. View “Employee Rights under EPPA" [Link]. View Pay Transparency Nondiscrimination Provision [Link]. Accommodation Whether you require an accommodation for the job application or interview process, Radian is dedicated to a barrier-free employment process and encourages a diverse workforce. If you have questions about the accommodation process, please e-mail ******************. Please note that you may redact or remove age-related information that identifies your age, date of birth, or dates of attendance at or graduation from an educational institution on any additional application materials you submit as part of the application. Additional application materials include but are not limited to, resumes, CVs, transcripts, or certifications.

Thanks for your interest in Success Academy! Running the largest, fastest-growing, and highest-performing network of public charter schools in New York City takes a village - families, children, teachers, staff and faculty, advocates and supporters alike. We would love to welcome you to our community! We work tirelessly every day to ensure each child in NYC has access to a fun, rigorous, whole-child education regardless of zip code or economic status. When you join SA, you play a part in giving every student who walks through the doors of one of our 53 schools in NYC a fair shot at reaching his or her potential. Job Description As the fastest growing, highest-performing charter school network in New York State, Success Academy is reimagining K-12 public education. Nationally recognized for our innovative, whole-child school model and outstanding academic results, Success Academy educators are empowering children from all backgrounds with the knowledge, skills, and self-belief to succeed in college and in life. We now need a results-driven Data Scientist to join our Enterprise Data & Analytics team. Department The Technology Division at Success Academy is the chief provider of technology infrastructure, application services, security, and support. The Division partners with teams across the organization to equip students, teachers, leaders, and staff with the innovative technology tools and know-how necessary to achieve academic and operational excellence. As a Data Scientist at Success Academy, you will be a key contributor to our mission of driving innovation and democratizing data across the organization. Reporting to the Leader of Data Science, you will partner with stakeholders to understand objectives and leverage data to identify opportunities and drive strategy. Key responsibilities include: Provide quantitative support, market understanding, and a strategic perspective to our partners throughout the organization Demonstrate analytical expertise and thought leadership with quantitative analyses to help Success Academy make better decisions Identify and measure success of efforts through goal setting, forecasting, and monitoring of key metrics to understand trends Define, understand, and test opportunities and levers to improve operations through insights and recommendations A successful applicant will have the following experiences and education: Qualifications Degree in a technical field like Math, Statistics, Computer Science, Data Science, Artificial Intelligence, Engineering, Operations Research, or Physics. Graduate degree preferred. At least 3 years of experience working within a corporation or consumer-focused environment in a Data Science capacity Strong presentation and data visualization skills to communicate data analysis in compelling ways Proficient data wrangler with strong technical skills in SQL. Preferably also proficient in a fast prototyping language (either Python or R) Understands when analytical sophistication is required and when an Excel projection will be best Proven expertise in data science and analytics, probability and statistics, time-series analysis, pattern recognition, optimization, and/or predictive modeling Ability to lead projects independently and communicate effectively across the organization Ability to collaborate with data analysts, software engineers, business partners and other stakeholders and act as an evangelist for data science/analytics principles and practices Success Academy Charter Schools is an equal opportunity employer and actively encourages applications from people of all backgrounds. Compensation is competitive and commensurate with experience. Success Academy offers a full benefits program and opportunities for professional growth. Compensation Range Annual Salary: $120,000.00 - $140,000.00 Exact compensation may vary based on skills and experience. Already an employee of Success Academies? Please go to your Okta Dashboard> Workday> Applications> Career to apply via our Internal Careers page. We are an equal opportunity employer and value diversity at our organization. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We actively seek applications from people of all backgrounds to strengthen our community and the perspectives needed to flourish in a multicultural world. Success Academy offers a full benefits program and opportunities for professional growth.Learn more about our philosophy, benefits, and team at ************************************************ Success Academy Charter Schools does not offer employment-based immigration sponsorship.

**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

Basic Information Posted Date 10-Mar-2025 Agency 90 North Department Data & Analytics Job Number 47074 Job Type Regular Work Arrangement Regular - Hybrid Job Description About the Job We are seeking a Lead Data Scientist to spearhead the analysis and interpretation of large datasets, uncovering insights that inform business decisions and drive growth. As a leader, you will manage junior data scientists, provide actionable insights to stakeholders, and develop and maintain statistical models using open-source coding languages like R and Python. You will also extract trends from customer databases, conduct multi-channel analysis, and craft compelling presentations to various levels of management. This role offers the opportunity to leverage your expertise in advanced quantitative methods to drive business strategies and maximize ROI. A Day in the Life * Provide actionable business and marketing insights to stakeholders through data analysis, research, and modeling, integrating internal and external data sources. * Develop and

About Us: NYSTEC is a nonprofit technology consulting company, advising agencies, organizations, institutions, and businesses since 1996. We're independent and vendor-neutral, so we have our clients' best interests at heart. At NYSTEC, we know that we succeed when individuals and teams flourish personally and professionally, so our benefits and perks support that mindset. About the Role: As a data engineer in the information technology department, you will collaborate with team members to work on innovative projects and be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives. The role will collaborate closely with cross-functional teams to ensure the availability, reliability, and performance of NYSTEC data systems and solutions. Key Responsibilities * Lead the design and implementation of Microsoft Fabric-centric data platforms and data warehouses. * Develop and optimize ETL/ELT processes within the Microsoft Azure ecosystem, effectively utilizing relevant Fabric solutions. * Ensure data integrity, quality, and governance throughout Microsoft Fabric environments. * Collaborate with stakeholders, analysts, and architects to translate business needs into actionable data solutions. * Troubleshoot and optimize existing Microsoft Fabric implementations for enhanced performance. * Test, monitor, and ensure compliance with best practices in data analytics and quality management. About you: * Experience translating business requirements to technical requirements. * Proficiency in programming languages commonly used in data engineering (e.g., Python, Java, Scala). * Strong knowledge of database systems, data modeling techniques, and SQL proficiency. * Proficiency with ETL tools commonly used in data engineering (e.g., SSIS, Databricks, Azure Data Factory). * Strong working knowledge and experience with Microsoft Azure services and tools including Microsoft Fabric, Azure Data Factory, Azure Synapse, Azure SQL Database, and Azure Databricks. * Experience using a work management tool such as Azure DevOps. Preferred/Desired Qualifications * Microsoft Certified: Fabric Data Engineer Associate. * Microsoft Certified: Fabric Analytics Engineer Associate. Education and Experience Bachelor's degree in computer science, engineering, information systems, or related field. Master's degree preferred. A minimum of five years of experience in information technology with at least two years of the following: * Experience in business analytics, data science, software development, data modeling, or data engineering work or equivalent experience. * Experience manipulating and transforming data in Spark SQL, PySpark, or Spark Scala, or a minimum of two years of experience manipulating and transforming data in T-SQL. The pay range for this position is $91,761.00 to $126,172.20 per year. It is NYSTEC's policy to provide equal employment opportunity (EEO) to all individuals, regardless of actual or perceived race, color, creed, religion, sex, or gender (including pregnancy, childbirth, and related medical conditions), gender identity or gender expression (including transgender status), age, national origin, ancestry, citizenship status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, military service and veteran status, sexual orientation, marital status, or any other characteristic protected by local, state, or federal laws and ordinances. NYSTEC is strongly committed to this policy and believes in the concept and spirit of the law. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please contact ********************** if you require a reasonable accommodation to apply for or to perform this job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. Applicants must be authorized to work in the United States without the need for visa sponsorship now or in the future. Learn more about NYSTEC by visiting ***************

Must Have Technical/Functional Skills Build and optimize machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn. Able to implement end-to-end MLOps pipelines for model training, deployment, and monitoring. Leverage cloud-based AI services (AWS SageMaker, Google Vertex AI, Azure ML) to develop scalable ML solutions. Work with big data technologies (Spark, Hadoop, BigQuery, Databricks) for data preprocessing and feature engineering. Good to Have - Manage the MLOPs Infrastructure including Continuous Integration servers, Model Configuration management, Model Deployment automation, Containers, Infrastructure Orchestration, Monitoring and Analytics, Testing and Cloud Quality tools. Python, Prompt Engineering, Langchain, Agentic AI, Data Engineering, Data Sciences, Applied AI, and AI/ML. Knowledge in one of the following is preferred. * AWS: Bedrock, SageMaker, Lambda for AI workloads * Azure: OpenAI Service, ML Studio, Cognitive Service * GCP: Vertex AI, Generative AI Studio, TPU training Roles & Responsibilities Explore and experiment new AI and Data technologies to build innovative solutions for the given customer usecases, perform rapid protypes, develop MVPs using frameworks like TensorFlow, PyTorch, or Scikit-learn. Implement end-end MLOps pipelines for model training, deployment and monitoring. Generic Managerial Skills, If any Effective communication and presentation skills, self-motivation, and the ability to navigate in creative environments. Salary Range: $80,000-$110,000 a year TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-SP1

About OUTFRONT We are one of North America's most innovative media companies. We leverage the power of creative excellence, unbeatable locations and smart audience data to change the game for advertisers. Our purpose as a company is to help people, places and businesses grow stronger. To do this, we make meaningful connections between brands and people when they are outside of their homes through one of the largest and most diverse sets of out-of-home assets including billboards, transit and mobile displays across the U.S. We connect diverse audiences across over 150 markets and conduct our business considering all our stakeholders, from clients and employees, to the communities where we operate. We are committed to creating a diverse and inclusive work environment that promotes the growth of our people. Come join our industry-leading team! What We Offer OUTFRONT offers a comprehensive benefits program including: Medical, Dental, Vision (including same and opposite-sex domestic partners) HSA and FSA plans, Family Benefits, Pet Benefits 401(k) Plan with an Employer Match Paid Time Off, Commuter Benefits, Educational Assistance Robust Diversity, Equity and Inclusion program including 7 Employee Resource Groups (ERGs) Job Summary At OUTFRONT Media, a leader in Digital Out of Home (DOOH) advertising, we're blending cutting-edge technology with our nationwide network of digital billboards and transit displays to create innovative solutions that push the boundaries of what's possible. We're looking for a passionate and experienced Senior Data Engineer to join our growing Data & Analytics team. If you're excited about building high-performance data pipelines, solving complex problems, and collaborating with both internal and external teams, we want to hear from you! As a Senior Data Engineer, you'll leverage your expertise in cloud technologies, data architecture, and modern data warehouses to design and implement scalable, high-impact solutions that drive real business results. You'll partner with leadership to influence strategic decisions, ensuring our data systems evolve alongside the business to meet future needs. In this role, you'll be the go-to expert for all things cloud and data, playing a key part in shaping innovative, customer-focused solutions. If you're a multi-tasker with strong attention to detail, and you're ready to make a significant impact in a fast-paced, collaborative environment, let's work together to build the future of advertising technology! What You'll Do Build and maintain high-performance data pipelines that enable deeper analysis, reporting, and insights across the business. Design and implement large-scale, data structures that support analytics and data science needs, optimizing for speed, scalability, and reliability. Create seamless data ingestion processes (both real-time and batch) using modern ETL/ELT practices, leveraging cloud technologies and big data tools to ensure smooth data flow. Collaborate with business teams to understand needs, and translate them into flexible, scalable data solutions that grow with the company. Work alongside engineers to establish best practices for data system creation, ensuring data quality, integrity, and proper documentation throughout. Continuously improve reporting and analysis by automating processes, streamlining workflows and empowering teams with self-service data tools for easy access to insights. Partner with senior leadership to stay aligned on business objectives, provide regular updates, and make data-driven decisions to drive progress. Be the subject matter expert in your area, understanding the ad tech landscape and identifying ways to leverage OUTFRONT's unique position in the market. Take the initiative to identify, troubleshoot, and resolve challenges that could hinder progress on strategic goals, ensuring the team remains on track to meet both technical and business objectives. Experience 7+ years of experience designing and implementing data warehouse solutions, focusing on scalability and performance. 7+ years of experience writing complex SQL queries and developing robust ETL/ELT pipelines to transform and integrate data. 7+ years of programming experience in languages like Python, focusing on building scalable and efficient solutions. Extensive experience in building and optimizing APIs, containerization, and orchestration with Kubernetes to ensure scalable, high-performance data systems. Hands-on experience with Cloud data warehouses (ideally with Snowflake, Google BigQuery, or AWS Redshift). Proficient in cloud technologies such as GCP or AWS. Experience leading and collaborating with agile teams, utilizing tools like Jira and Confluence, to drive user-centered and iterative development processes. Technical Expertise Expertise in creating reports and dashboards using tools like Tableau, Looker, or Power BI to enable insightful decision-making. Deep knowledge of identity management, data privacy, audience targeting, cross-device graphs, and related technologies. Solid understanding of digital advertising technology, including ad serving, analytics, DSP, DMP, SSP, QA, and targeting. Soft Skills Strong cross-functional collaboration skills, with experience working in complex organizations and aligning teams on data product decisions and trade-offs. Exceptional communication skills, capable of breaking down complex technical concepts and clearly communicating them to stakeholders. Passionate about working with large datasets, skilled at spotting trends and deriving actionable insights to drive business decisions. A quick learner, adept at grasping both business and technical needs to deliver impactful solutions. Education Bachelor of Engineering in Computer Science or equivalent preferred. For New York and California,the salary range for this role is $145,000-$165,000 per year. Compensation is determined during our interview process by assessing a candidate's experience and skills relative to internal peers and market benchmarks evaluated for the scope and responsibilities of the position. Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law and California Salary Transparency Law. To all Recruitment Agencies: OUTFRONT Media LLC does not accept agency and unsolicited resumes. Please do not forward resumes to our OUTFRONT Media employees or any other company location. OUTFRONT Media is not responsible for any fees related to unsolicited resumes. OUTFRONT Media Is An Equal Opportunity Employer All applicants shall receive equal consideration without regard to race, color, religion, gender, marital status, gender identity or expression, sexual orientation, national origin, age, veteran status or disability. Please refer to the OUTFRONT Media Affirmative Action policy statement.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, 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 product 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, Product Analytics 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. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 7. 2+ years of work experience in analytics and data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) 8. 2+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 9. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $114,000/year to $171,000/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.

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 Marketing Applied Sciences team is responsible for developing analytics-driven solutions to help GM Marketing Organizations achieve their business goals. The Senior Data Scientist will work as part of this multi-disciplinary team that will be driving solution design, development, and deployment of analytic models in support of marketing strategies. They are knowledgeable in methodology and practice of marketing analytics with an emphasis on inferential and prescriptive methods. This individual has experience with website, email, and media measurement. This person will work closely with teammates in Marketing Applied Sciences and stakeholders in GM's Marketing organization to ensure objective performance evaluation and optimization of media strategy. This senior data scientist will assist in the research and development of advanced marketing models, drawing insights, and creating scalable products across owned & paid channels. They will be part of a team focused on delivering future-focused, consumer-centric, prescriptive solutions that allow GM to stay proactive and nimble in our exciting transition to EVs **What You'll Do** + Work on a diverse, cross-functional team (technical and non-technical) to help implement high-impact, data-driven solutions to address business challenges in the vehicle brand marketing teams, ensuring that project deliverables fulfill business needs and timing. + Possess contextual business knowledge and functional domain expertise in the advertising and media space as well as familiarity with marketing media measurement techniques including site/clickstream measurement, A/B testing, and various industry measurement media platforms. + Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems: preprocessing multisource data; and presenting complex information using data visualization techniques. + Demonstrate an ability for using data, analytics, and insights driving business-impact. + Exhibit a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact. + Effectively communicate through telling a succinct, data-driven story in any forum, tailoring delivery to a wide range of stakeholder levels from analyst to senior executive. **Your Skills & Abilities (Required Qualifications)** + 5+ 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 + Master's Degree or Ph.D. in Marketing Science, Econometrics, Statistics, Psychometrics, (Bio) Statistics, Applied Mathematics, Operations Research, or another quantitative field. + 2+ years of experience working with site/clickstream measurement, A/B testing, and various industry measurement media platforms + Expertise with fundamental statistical concepts and considerations for selecting an appropriate modeling technique. + Proficient writing Python/R (modeling) and SQL/Spark (data), working with Pandas, StatsModels, PYMC, TensorFlow, Pytorch, Spark/ML, sklearn, numpy and related packages. + Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality. **What Can Give You a Competitive Advantage (Preferred Qualifications)** + Experience with cloud compute platforms such as Azure with Databricks experience being especially valuable. + Familiarity with advanced methods such as: customer lifetime value, media mix modeling (MMM), multi-touch attribution (MTA), 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. + Prior experience with paid, earned, and owned media and/or marketing analytics **Additional Job Description** This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. Compensation: + The expected base compensation for this role is: $130,800- $232,900. 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.

Basic Information Posted Date 10-Mar-2025 Agency 90 North Department Data & Analytics Job Number 47072 Job Type Regular Work Arrangement Regular - Hybrid Job Description About the Job We are seeking a Lead Data Scientist to spearhead the analysis and interpretation of large datasets, uncovering insights that inform business decisions and drive growth. As a leader, you will manage junior data scientists, provide actionable insights to stakeholders, and develop and maintain statistical models using open-source coding languages like R and Python. You will also extract trends from customer databases, conduct multi-channel analysis, and craft compelling presentations to various levels of management. This role offers the opportunity to leverage your expertise in advanced quantitative methods to drive business strategies and maximize ROI. A Day in the Life * Provide actionable business and marketing insights to stakeholders through data analysis, research, and modeling, integrating internal and external data sources. * Develop and

Data Scientist I, MIRS Description of work to be performed: Perform data modeling and analysis, analytical framework development and the estimation and validation of credit models. Perform programming in support of model estimation, implementation, monitoring, and back testing. Develop and maintain cloud-based modeling frameworks. Prepare model estimation and design for delinquency, default, prepayment and claim severity. Perform analysis of standard reporting and model performance. Perform model development and methodology research. Create analytical presentations and communication of strategic business findings to management. Perform analysis and recommend alternative credit structures, risk sharing arrangements, and non-traditional manners in which to participate and take on credit risk as appropriate and necessary. Perform data manipulation of large files (R, Python, or SAS datasets) to identify trends and make recommendations and adjustments to credit or portfolio guidelines as necessary. Perform other duties as assigned or apparent. Qualifications / Requirements: Bachelor's degree, or foreign degree equivalent, in Finance, Economics, Mathematics, Statistics or a related field and 1 year of related experience. The position also requires 6 months of understanding of mathematical, statistical, and probability modeling; 6 months of econometric and quantitative finance concepts; 6months of strong analytical background, along with the ability to identify trends and make recommendations based on sound business judgment; 6 months of knowledge of SAS, R, C++ or python for data analysis and modelling; 6 months of data manipulation of large files (R, Python, or SAS datasets). Telecommuting may be permitted. When not telecommuting, must report at 275 Madison Ave, Suite1501, New York, NY 10016. Radian Guaranty Inc. will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a background check and drug screen (as applicable). In the alternative, employer will accept a master's degree or foreign degree equivalent, in Finance, Mathematics, Statistics, or a closely related field and 6 months of experience. The position also requires 6 months of understanding of mathematical, statistical, and probability modeling; 6 months of econometric and quantitative finance concepts; 6months of strong analytical background, along with the ability to identify trends and make recommendations based on sound business judgment; 6 months of knowledge of SAS, R, C++ or python for data analysis and modelling; 6 months of data manipulation of large files (R, Python, or SAS datasets). Telecommuting may be permitted. When not telecommuting, must report at 275 Madison Ave, Suite1501, New York, NY 10016. Radian Guaranty Inc. will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a background check and drug screen (as applicable). ******************************** REQ - R20250046 #LI-DNI Defining Roles for Radian's Future Understanding the qualities and characteristics that define a Leader and an Employee is important to building our future-fit workforce. Radian's future is only as bright as its people. For that reason, our People Plan includes profiles to support the qualities and characteristics that each Leader as well as each Employee should embody upon hire or via development. EEO Statement Radian complies with all applicable federal, state, and local laws prohibiting discrimination in employment. All qualified applicants will receive consideration for employment without regard to gender, age, race, color, religious creed, marital status, gender identity, sexual orientation, national origin, ethnicity, ancestry, citizenship, genetic information, disability, protected veteran status or any other characteristic protected by applicable federal, state, or local law. An applicant's criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. The material duties include those listed in the “Primary Duties and Responsibilities” section above, as well as the ability to adhere to Company policies, exercise sound judgment, effectively manage stressful situations, work safely and respectfully with others, exhibit trustworthiness, and safeguard confidential information belonging to the Company and its customers. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Equal Opportunity Employer Details To learn more about Radian's Code of Conduct and Ethics and workplace conduct, please click [here]. Radian participates in E-Verify [Link] (en español [Link]). Learn more about your rights under immigration laws [Link] (en español [Link]). View the "EEO is the Law" poster [Link]. View the "EEO is the Law" Supplement [Link]. View Pay Transparency Nondiscrimination Provision [Link]. Accommodation Whether you require an accommodation for the job application or interview process, Radian is dedicated to a barrier-free employment process and encourages a diverse workforce. If you have questions about the accommodation process, please e-mail ******************. Please note that you may redact or remove age-related information that identifies your age, date of birth, or dates of attendance at or graduation from an educational institution on any additional application materials you submit as part of the application. Additional application materials include but are not limited to, resumes, CVs, transcripts, or certifications.

Headquartered in Dublin, Ohio, Cardinal Health, Inc. (NYSE: CAH) is a global, integrated healthcare services and products company, providing customized solutions for hospitals, health systems, pharmacies, ambulatory surgery centers, clinical laboratories and physician offices worldwide. The company provides clinically proven medical products and pharmaceuticals and cost-effective solutions that enhance supply chain efficiency from hospital to home. Cardinal Health connects patients, providers, payers, pharmacists and manufacturers for integrated care coordination and better patient management. Backed by nearly 100 years of experience, with approximately 50,000 employees in 46 countries, Cardinal Health ranks among the top 20 on the Fortune 500. **Department Overview:** At Navista, our mission is to empower community oncology practices to deliver patient-centered cancer care. Navista, a Cardinal Health company, is an oncology practice alliance co-created with oncologists and practice leaders that offers advanced support services and technology to help practices remain independent and thrive. True to our name, our experienced team is passionate about helping oncology practices navigate the future. We are currently hiring for a Senior Data Engineer within Navista - Data & Advanced Analytics team to support the growth of our Navista Application Suite and the Integrated Oncology Network (IoN). **Job Overview:** As a Senior Data Engineer, you will help define and implement multi-cloud-based infrastructure for Data Lake, Analytics and Machine Learning initiatives. In this critical role, primary focus is to architect, implement and operationalize large-scale enterprise data platforms, and solutions leveraging one or more of Google Cloud Platform technologies like BigQuery, Cloud Dataflow, Cloud DataProc, Cloud PubSub, Cloud Functions, Airflow. As a primary subject matter expert, you will be implementing and providing consultation services and leading various build and operations teams to productionize Big Data and Analytics workloads. You will build solutions that ingest, store and distribute our big data to be consumed by data scientists, data analysts and front end applications. You will leverage emerging cloud technologies to build Data Platforms and Pipelines at enterprise scale to support Analytics and ML/AI solutions. All this while leveraging agile DevSecOps (DataOps, MLOps) practices, and automation to enable speed, quality, and provide a seamless experience to internal/external customers. **Responsibilities:** + **Data Architecture Design:** Designing and implementing Data Platforms, Data Pipeline(integration) technologies, and Common Data Services using cloud native integration and analytics technologies. Design the data infrastructure for scale and resiliency with monitoring/alerts in place + **Technical Leadership:** Provide technical guidance to data engineering teams, mentoring junior engineers on best practices for data pipeline development, data modeling, and performance optimization. Assist with integration practice integration engines to the data infrastructure. + **Data Governance:** Work with data quality and information security teams to help define data quality standards, data governance policies, and data security measures to ensure data integrity and compliance. + **Hands-On Experience** : Creating datasets for Machine learning algorithms and data analysis. Design and build low-code/no-code data pipeline frameworks to support large scale ingestions and practice integrations. Optimize data pipelines for cost optimized, large scale data lake implementations. + Work closely and collaboratively with other members of the analytics teams including data scientists, business analysts, and product teams to define requirements, mine and analyze data, integrate data from a variety of sources. + Perform unit and integration data testing. + Perform detail assessments of current state data platforms and drive enhancements and optimization activities. + Participate in implementation of BI visualizations + Lead data engineering projects, including scoping, planning, execution, and monitoring, ensuring successful delivery of data solutions aligned with business requirements. + Implement Common Data Services (e.g., Data Orchestration using AirFlow, Data Governance capabilities using Collibra) to support reuse across business functions. **Desired Qualifications:** Required proven experience in the following: + Engineering experience in Big Data systems, Data Analytics and Data Integration related fields + GCP experience in Cloud Infrastructure, Data Integration, Data Engineering, Cloud Analytics solutions, and experience with operationalizing enterprise scale solutions + Architecting and designing data lakes on GCP cloud analytics, BI and Machine learning workloads + Middleware technologies, and Data Ingestion technologies like GCP DataFlow, Fusion, and AirFlow + Writing complex SQL queries, stored procedures, etc. + Agile development skills. + CI/CD pipelines such as Concourse, Jenkins and Terraform technologies + GCP Cloud cost optimization and authoring performance efficient queries Strongly Preferred: + Oncoloy data experience + Multi-Cloud Experience + Experience with semantic layer technologies such as AtScale **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **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:** 4/10/2025 *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. _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 (***************************************************************************************************************************