Data Scientist Jobs in Portsmouth, NH

Title: Data Engineer Lead Reports to: VP of Data Analytics Job Type: Remote or hybrid (We're built to work from anywhere) (we do not offer C2C or C2H positions) Status: Full-Time About At Prendio-BioProcure, we are dedicated to helping scientists and biotech researchers develop novel therapies and cure diseases as quickly and cost-effectively as possible. Our software enables scientists to find, select, order, and obtain the products and services they need to support their research, highly efficiently and at lower cost. Our services allow biotech companies to leverage best-in-class procurement and accounts payable teams in a turn-key fashion, benefiting from decades of experience and expertise. As a result, biotechs can focus on science and improve their opportunity to bring therapies to market. We are building a company of driven team players who are intellectually curious, eager to learn and pursue growth, and have the stamina to make an impact in our fast-paced environment. We value high-performance teams that are built around the following competencies: Innovative: We believe that rethinking the status quo is imperative and that new ideas can and should come from everyone on the team. Collaborative: Every interaction, whether with a client or a colleague, should be impactful, and respectful and leave them excited to deal with you again. Execution-Oriented and Accountable: The kind of change that is necessary will not come without breaking a few eggs, so we have the courage to be adventurous and try new things, but we also admit when something is not working, own it and do it better the next time. Job Summary Prendio is seeking a dynamic and highly skilled Data Engineer Lead to become the technical owner of our data platform. In this pivotal role, you will manage the infrastructure and tools that power our data-driven decision-making, ensuring exceptional access, uptime, and performance. If you thrive in a fast-paced, high-performance culture and excel in navigating complex challenges with adaptability, resilience, and a passion for learning, this role is designed for you. Prendio's high-growth environment rewards those who are eager to push boundaries and embrace innovation. While the expectations are high, the opportunities for impact and professional growth are unparalleled for the right candidate. Role & Responsibilities Develop data integrations and robust data pipelines to support BI reporting, advanced analytics, and AI/ML initiatives. Design and document data models, data flows, and data architectures that are scalable and future-proof. Mentor and guide junior data engineers, fostering a culture of collaboration, innovation, and continuous learning. Partner with product managers, software engineers, data scientists, and analysts to scope and implement technical solutions that address complex business challenges. Requirements and skills Proven expertise in developing and managing data warehouses and related technologies; experience with Snowflake is a significant plus. Hands-on experience in designing and maintaining ETL/ELT pipelines and data integrations. Proficiency in Pythonand SQL, with a strong foundation in data engineering best practices. Experience with dbt(a plus) and operating within an AWS environment (preferred). A demonstrated track record of delivering complex analytical use cases that drive business value. Familiarity with AI/ML use cases is advantageous. Exceptional adaptability, problem Benefits: Blue Cross Blue Shield Health Insurance - 100% of employee premiums paid BCBS Dental insurance - 100% of employee premiums paid VSP Vision Coverage Flexible Spending Account Healthcare Health savings account with employer contribution 401K/Roth 401k Paid holidays Paid vacation/Unlimited PTO Other benefits, including a complimentary subscription to the Calm app, pet insurance, legal assistance and more Website - ******************** Advancement within BioProcure/Prendio is based on manager discretion and other company considerations. This job description does NOT constitute an employment agreement between the employer and employee and is subject to change by the employer as the organizational needs and requirements of the job change.

**Must be located in New England** At WIN Waste Innovations, we are advancing our data architecture stack. As a Senior Data Engineer, you will join a dynamic team tasked with integrating additional sources into our Data Warehouse, extend our Master Data Management offerings and support our Report Developers, Data Analysts and other individuals requiring curated data for analytics across the enterprise. Additionally, you will manage and optimize Azure data pipelines. The ideal candidate is passionate about harnessing the power of data to provide actionable insights, building robust, maintainable processes and act as a trusted advisor to IT teammates as well as our business partners. What You'll Do... · Trace and document data consumption patterns · Contribute to the design, implementation and maintenance to resolve data related technical issues · Act as the trusted advisor to Report Developers and other consumers recommending data solutions · Support and maintain existing integrations and data transformations · Develop and maintain data ingestion and integration (ADF) processes with a focus on data quality and monitoring · Manage code versions in source control (Azure DevOps/ Github) · Participate in troubleshooting and problem-solving design discussions · Support stakeholders to translate requirements into data solutions · Work with stakeholders including report developers, business stakeholders, data analysts, and business users to design and build robust data processes · Ability to lead technical projects, communicating with users, stakeholders and leadership · Partner with enterprise teams, data analysts and architects to support the development of standards and solutions · Incorporate standards and best practices · Drive technical projects to completion from inception to production implementation Who You Are... · Bachelor's Degree in Computer Science, Mathematics or other technical area · 5 - 7 years of experience developing data integrations with a strong understanding of data warehousing concepts · Advanced working knowledge of relational database · Advanced SQL skills · Experience in MS Fabric or Data Bricks · Experience in Agile methodologies defining User Stories, Features and Epics · Experience mentoring cross-training and building consensus with report developers and other engineers · Hands-on experience with: Microsoft/Azure Stack - SSIS, SQL, Azure Data Factory, ADO, GitHub, · Strong computer science fundamentals: SDLC methodologies, CICD, programming languages, data structures · Working knowledge of Data Governance principles and master/reference data management · Experience interfacing with star schemas and data warehouse implementations Research shows women and underrepresented groups often only apply if they meet 100% of job requirements. We actively encourage ALL interested candidates to apply, regardless of how perfectly you match our listed qualifications.

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. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 7. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.) 8. 4+ 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:** $145,000/year to $204,000/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.

About Sequel Sequel Med Tech is an early-stage company developing the next generation of precision drug delivery devices. Sequel Med Tech is seeking an experienced data scientist to spearhead the design, development, and implementation of our long-term data strategy while supporting shorter-term data needs for our digital health portfolio. As our first Principal Data Scientist, you will play a pivotal role in shaping the future of healthcare for people living with diabetes, upskilling Sequel's broader data and reporting capabilities while also working directly with our product teams as a subject matter expert on feature design and implementation. The successful candidate will be a data science and digital health utility player. You will partner with the Technology and Operations leadership team to define a vision and roadmap and then work (virtually) side-by-side with the product teams to execute that strategy in an agile, iterative manner. If you value shared ownership and accountability, individual and team empowerment, and a culture of collaboration and continuous improvement, then this is the job for you. While this is an individual contributor role today, we anticipate that this individual will grow into a leadership role as they help to build our data science community. Job Responsibilities and Essential Duties Work closely with business leaders, technical teams, customers, and other stakeholders to identify opportunities to solve healthcare problems with data and to translate those opportunities into data science questions and data engineering requirements. Communicate complex data insights to clinical and business leaders to inform decision-making. Partner with technical teams to ensure data-driven functionality is designed, implemented, tested, and released with proper consideration to data quality, integrity, compliance, and use. Oversee the design, development, and implementation of data science initiatives, including data acquisition, cleaning, feature engineering, model building, evaluation, and deployment across various healthcare and business domains. Ensure quality, inclusion, impartiality, and accessibility in delivered products. Develop best-in-class data science practices to support a rapidly growing organization. Guide and mentor engineering peers and future earlier career data scientists and engineers, providing technical expertise and developing data science awareness and capabilities across the team. Minimum Requirements 10+ years' experience in data science with a minimum: 3 years' experience in healthcare, including both patient- and clinician-facing applications. 5 years' experience operating in an agile product environment. 2 years' experience managing teams or developing earlier career data scientists and engineers Master's degree in Computer Science, Mathematics, Machine Learning, or a related field. Ph.D. preferred. Required Knowledge, Skills and Abilities Proficiency in applicable programming languages, with strong knowledge of data manipulation and analysis libraries. Expertise in big data technologies and cloud computing platforms with a demonstrated ability to learn new systems and technologies in a rapidly evolving field. Experience bringing data products from 0-1, including partnering with product teams to translate to tangible solutions for customers. Understanding of clinical data structures, coding systems, and healthcare terminology. Diabetes experience highly preferred. Awareness of healthcare regulations and ethical considerations related to patient data. Ability to clearly communicate complex technical concepts to non-technical stakeholders. Strong project management skills to lead cross-functional teams and deliver data science projects on time and within budget. Knowledge of machine learning algorithms (regression, classification, clustering, etc.). Sequel Med Tech provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. At Sequel, we believe that when you thrive, we thrive. That's why we've designed a benefits package that's as thoughtful as it is generous. From day one, you're automatically enrolled in our 401k plan-no waiting, no worries-with a 6% company match and 100% immediate vesting. We prioritize your well-being, especially for our employees and their families living with diabetes, with capped out-of-pocket insulin costs and GLP-1 coverage across all plans. With multiple medical plans through Aetna, including a 100% company-paid high deductible plan paired with employer HSA contributions, you can select what suits your needs. Additional benefits include vision and dental plans, employer-paid short-term disability, and voluntary options like accident and pet insurance. Need time to relax and recharge? You'll enjoy flexible PTO and generous paid holidays, all while being part of a culture that values hard work, fun, and support. We don't just offer jobs-we offer careers that build futures. Join us, and let's grow together! Environmental/Safety/Physical Work Conditions Ensures environmental consciousness and safe practices are exhibited in decisions Use of computer and telephone equipment and other related office accessories/devices to complete assignments May work extended hours during peak business cycles Physical requirements such as lifting specific weights Some travelling is expected

The Data Scientist will develop next generation applications in medical diagnostics based on machine learning and bioinformatics. This role will investigate new algorithms, predictive models, and information visualizations based on the data captured by Werfen's market leading diagnostic instruments placed worldwide. Responsibilities Key Accountabilities Essential Functions: Research and development of novel machine learning algorithms for the existing products and next generation platform products Development of machine learning algorithms to expand product capabilities Participate in building new experiences, improve existing products, ensure quality assurance test designs and contribute to test systems architecture discussions Technical point of contact for AI and ML Understand Werfen's products and services and introduce technology innovations with respect to functionality, performance, reliability, and scalability. Budget Managed (if applicable) N/A Internal Networking/Key Relationships To be determined based on department needs Skills & Capabilities: The ideal candidate for this position will exhibit the following skills and capabilities: Fluency with machine learning and scientific computing software, such as Scikit, TensorFlow and OpenCV Artificial intelligence software development experience using Python Database development, analysis Experience applying data science expertise to medical instrumentation, sensor or other hardware generated datasets is desired A passion for the cross-section of machine learning and biological data Strong presentation and general communication skills, ability to work in teams Qualifications Minimum Knowledge & Experience required for the position: Education: Minimum of Master of Science, PhD preferred, in computer science or related field, with a focus on artificial intelligence preferred. Experience: Minimum of 3 years work experience in R&D within the Healthcare sector is preferred International Mobility: Required: No Travel Requirements: Approximately 10% of time

What We Do CNXN Helix Center at Connection Inc., is at the forefront of AI innovation, offering cutting-edge solutions that redefine the boundaries of artificial intelligence and data management. We are dedicated to helping our clients navigate the complexities of AI integration, ensuring they stay ahead in a rapidly evolving technological landscape. Our commitment to excellence, innovation, and strategic growth makes us an industry leader. Visit us at ************************ Who We Are Our team is made stronger by a multitude of backgrounds, experiences, and perspectives. It's what makes Connection unique-what drives us to innovate and create technology solutions that stand apart from the crowd. We'd love for you to be a part of that fabric, to share your ideas and experiences with a team that thrives on fresh thinking, creativity, and helping others. Why You Should Join Us You'll find supportive teammates and a rewarding career at Connection-plus great benefits. We take pride in supporting employees with a total rewards package that provides financial, emotional, and physical resources for you and your family. Our compensation, 401k plans, medical insurance, and other benefits are progressive and competitive. We value the importance of our employees' emotional wellbeing. To support employees, we provide free therapy visits, mental health coaching and tools, and meditation resources. You'll also enjoy a generous paid time off package that includes not only vacation and sick time, but also Wellness and Volunteer Time Off days. This is a remote or hybrid opportunity preferably based near our corporate offices in Merrimack, NH, or Boston or New York metropolitan areas Job Summary Reporting to the VP of Core Engineering and relying on experience and judgement to plan and accomplish goals, the Data Scientist (Data Engineer) is a pivotal role in shaping our data architecture and strategies. The Data Scientist is responsible for designing, implementing, and maintaining robust data pipelines and architectures that support advanced analytics and AI initiatives. The Data Scientist is responsible for the extraction of valuable insights from structured and unstructured data and driving innovation and efficiency across projects. Key responsibilities include building and optimizing data pipelines for efficient data processing and integration, designing scalable data architectures that support machine learning and AI applications, and implementing data validation and cleansing procedures to ensure data integrity. The Data Scientist collaborates closely with Machine Learning engineers, and software developers to meet project objectives, perform data preprocessing, feature engineering, and model evaluation, and conduct research to advance the state-of-the-art in AI and machine learning. Additionally, the role involves deploying and monitoring AI models in production environments, monitoring system performance and making recommendations for improvements, and maintaining clear documentation of data architectures and processes. Staying updated on emerging technologies and methodologies to enhance data engineering practices is also essential. The Data Scientist ensures the accuracy and reliability of AI models and algorithms, adhere to ethical standards and data privacy regulations, provide technical guidance and mentorship to junior team members, and continuously improve AI models based on feedback and performance metrics. Responsibilities Develops Data Pipeline. Builds and optimizes data pipelines for efficient data processing and integration. Designs Data Architecture. Designs scalable data architectures that support machine learning and AI applications. Ensures Data Quality. Implements data validation and cleansing procedures to ensure data integrity. Collaborates closely with data scientists, Machine Learning engineers, and software developers to meet project objectives. Optimizes Performance. Monitors system performance and make recommendations for improvements. Maintains clear documentation of data architectures and processes. Innovates, stays updated on emerging technologies and methodologies to enhance data engineering practices. Min USD $117,692.00/Yr. Max USD $153,000.00/Yr. Qualifications Master's Degree in Data Science, Computer Science, Engineering, or related field or the equivalent combination of education and work experience Minimum 5 years related work experience Real world Generative and Predictive foundational experience preferred. Knowledge in identity, security, access management, workflow and/or developer-facing products preferred. Direct experience working with cross-organizational teams. Experience in AI technology policy, compliance, trust and safety policy a plus. Experience in public sector solution delivery a plus. Technical Skills Programming: Proficient in Python, PyTorch, TensorFlow SQL, and experience with big data tools like DataBricks, SnowFlake Data Warehousing: Experience with data warehousing solutions like AWS Redshift, Azure Data Fabric, or GCP BigQuery. ETL Tools: Proficiency in ETL tools and data pipeline frameworks. Cloud Platforms: Familiarity with AWS, Azure, or GCP data services. Machine Learning: Basic understanding of ML concepts and how data engineering supports ML workflows. Tools: Experience with version control systems like Git and project management tools like JIRA. Soft Skills Analytical Mindset: Strong problem-solving skills and attention to detail. Communication: Ability to explain complex data concepts to non-technical stakeholders. Team Collaboration: Proven ability to work effectively in a team environment. Adaptability: Willingness to learn and adapt to new technologies and methodologies

About the Team/Role Our Team: The Global Risk Solutions and Strategy group is a fast-growing team optimizing risk solutions and models, and we are a key function to help enable WEX's strategic objectives. The team uses advanced methodologies (machine learning and statistical frameworks), a wide suite of data types, and modern technologies to develop solutions for risk decision making. Our team helps the firm identify and measure credit risk to proactively manage the risk throughout the client's life-cycle. As such, you will not only be working with the latest data and machine learning technologies and algorithms, you will be working in a dynamic environment alongside our stakeholders and domain experts to build models and drive better decision-making. You are driven to do great work. You love learning new things and solving complex problems with data tools and algorithms. You believe that communication and relationships are key to success alongside your data and machine learning prowess. How you'll make an impact Partner with stakeholders to translate needs into data-driven solutions to manage risk across the firm's products and services. Leverage a spectrum of advanced machine learning and statistical methods to design flexible, scalable, and automated modeling solutions. Develop code and automated processes to manage large volumes of data from disparate sources and extract informative patterns. Keep abreast with emerging trends in machine learning and identify opportunities to leverage new tools to solve problems and improve processes Synthesize findings into actionable insights and articulate them to the appropriate stakeholders. How you'll engage: Insights Driven: Clear hypothesis and objective driven analytics that help drive our business decisions and ongoing metrics Stakeholder Aligned: Understand the needs and audience for deliverables with a succinct and tailored message to maximize impact Results Focused: Rigorous focus on how analytics drive the end to end experiences with clear path to production and measurable impact Dynamic Collaboration: Drive continual improvement of our team best practices and processes to power collaboration Quality Mindset: Trust in our findings is critical so data and analytic quality is understood and accounted for from the beginning Curiosity and Learnin g: Learn new technologies and collaborate and teach others how to use them as necessary. Experience You'll Bring: 2+ years of hands-on experience in data science, machine learning, or artificial intelligence, preferably in fintech/ financial services industry Excellent problem-solving and critical thinking skills, with the ability to tackle complex challenges and deliver innovative solutions. Master's or Ph.D. degree in a quantitative field such as Mathematics, Statistics, Data Science, Operations Research, Computer Science Advanced knowledge of SQL and experience creating and managing large datasets to organize and extract useful information Advanced knowledge of Python or R and experience with data science libraries such as lightgbm, scikit-learn, pandas, numpy etc. Expertise in the machine learning model lifecycle, testing and inference, sampling methods, and supervised learning techniques. Strong communication and presentation skills with an ability to relate complex analytics findings to business outcomes Adaptable and comfortable working collaboratively and independently in a self-starting manner Evidence of creative problem solving, critical thinking and a continual learning mindset How you will stand out: Previous experience in risk models in collections, loss given default and loss modeling, and payments processing. Working knowledge of data attributes and coverage of risk-factors in external bureau data for small business. Experience using cloud environments to develop advanced models, such as AWS Sagemaker Experience with modern model deployment techniques Key Words Data Science, Machine Learning, Artificial Intelligence, Credit Risk, Collections, Loss Forecasting, Loss Given Default, The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.Pay Range: $113,000.00 - $150,000.00

When you join the team at Unum, you become part of an organization committed to helping you thrive. Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life's moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide: Award-winning culture Inclusion and diversity as a priority Performance Based Incentive Plans Competitive benefits package that includes: Health, Vision, Dental, Short & Long-Term Disability Generous PTO (including paid time to volunteer!) Up to 9.5% 401(k) employer contribution Mental health support Career advancement opportunities Student loan repayment options Tuition reimbursement Flexible work environments *All the benefits listed above are subject to the terms of their individual Plans . And that's just the beginning… With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you're directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today! General Summary:General Summary We are seeking an experienced data scientist to join the Unum Marketing Analytics team. The ideal candidate is someone who is excited to transform data into actionable insights and impactful solutions which drive business results and improve the customer experience. The role requires significant technical expertise in the fields of computer programming, applied statistics and data manipulation; and relies on increasing business knowledge. While some review by a manager is expected, this individual will take initiative in identifying and executing data science approaches to support business priorities. Job Specifications: Education: Bachelor's in a quantitative field required; Master's preferred. Experience: 4+ years of relevant work experience preferred. Core Skills & Expertise: Programming & Automation: Experience with file I/O, databases, APIs, DevOps, automation, and data mining. Data Visualization: Proficiency in at least one visualization tool, with knowledge of static and dynamic data visualizations. Statistics & Machine Learning: Expertise in statistical inference, regression, feature selection, and end-to-end machine learning workflows. Data Processing (ETL): Strong SQL skills, ability to join multiple datasets, explore databases, troubleshoot queries, and create logical data models. Business & Leadership Capabilities: Communication & Industry Knowledge: Strong communication skills, financial services experience, and ability to engage senior leadership. Leadership & Change Management: Experience mentoring, promoting change initiatives, and leading proof-of-concept work. Preferred Traits: Entrepreneurial mindset, problem-solving ability, results-driven approach, and curiosity for continuous learning. Principal Duties and Responsibilities: Develop and implement analytical solutions using optimization, simulation, data mining, and statistical methods to drive business value. Integrate and process large data sets from various sources (DB2, SQL Server, Web API, Teradata) for analysis and modeling. Apply validation, aggregation, and reconciliation techniques to create high-quality data assets. Build and refine predictive models for forecasting, risk assessment, and trend analysis. Interpret and communicate findings to influence leadership decision-making. Automate processes to integrate solutions into business operations. Stay current with emerging statistical methods and tools. Provide training, mentorship, and support to junior Data Science team members. Perform other duties as assigned. #LI-TS1 #LI-MULTI #LI-HYBRID ~IN1 Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide. Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME, and Baton Rouge, LA - plus over 35 US field offices. Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide. The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience. $73,300.00-$150,500.00 Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short & long-term disability), performance-based incentive plans, paid time off, and a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not. All benefits are subject to the terms and conditions of individual Plans. Company: Unum

**Senior Microbiome Data Scientist** **Place of Work: Onsite (with hybrid potential)** We are seeking a highly skilled innovator with deep microbiome data science experience to join our computational biology team in dsm-firmenich's Data Science unit. Our team is at the forefront of converting a deep understanding of microbiome function into actionable insights for health, nutrition and beauty by leveraging AI and modeling algorithms with high dimensional molecular data. This role offers the opportunity to drive interdisciplinary science projects that integrate the latest advances in computational biology, data science, AI and microbiome data while working in close collaboration with leading domain experts in the field of nutrition, health, beauty and life sciences. At dsm-firmenich, being a force for good is not optional. Diversity, Equity & Inclusion is a shared responsibility woven into our daily work, benefiting to our People, Customers & Communities and driving business value. Equal access to opportunities is a given, belonging is a shared feeling, authenticity is celebrated. Key Responsibilities: - Discover microbiome data-based insights and translate these into value for dsm-firmenich's nutrition, health and beauty segments - Develop and implement computational methods to deliver cutting-edge microbiome innovation - Contribute to the development and adoption of best practices and common computational tools by our global community of microbiome scientists - Stay up-to-date on the latest advancements in computational biology, microbiome research, AI and modeling. - Apply modern tools such as git, AWS, Docker, relational data models, cloud-native computing and API endpoints in your daily work. - Team-up with other data scientists and life science experts around the globe to drive project success We bring: - Opportunity to join a dynamic and thriving computational biology team in Data Science & Research - Highly motivated, professional and committed multicultural and interdisciplinary team. - Opportunity to put your scientific skills into practice with innovations in health, nutrition and beauty - Grow and develop your skills through our in-house training courses. - Being a part of company shaping a strong legacy heritage through industrial innovations and cutting-edge technology. - A commitment to science-based innovations with 2000 scientist and 700+ M annual S&R investments You bring: - Ph.D. or similar experience in Bioinformatics, Computational Biology, Computer Science, AI, or a related field. - 5-8 years of additional academic or industrial work experience in bioinformatics and computational biology, ideally in the microbiome field. - Record of accomplishments demonstrating high drive and keen entrepreneurial innovation. - Strong skills in scientific programming languages (Python/R) and its data science libraries. - Deep understanding of methods to analyze microbiome data and forward-looking interests in developing novel approaches. - Hands-on experience with AWS services and bioinformatic workflow languages. - Excellent problem-solving skills and the ability to work independently and collaboratively. - Effective communication and collaboration skills with the ability to convey complex concepts to non-experts. The application process Interested in this position? Please apply on-line by uploading your resume in English via our career portal by April 11, 2025. Equal Opportunities Commitment dsm-firmenich is fully dedicated to inclusion because when people feel engaged and empowered, their creativity and innovation drives unprecedented progress. We aim to build a workplace where opportunity really is equal, so everyone can thrive. We do not discriminate: there's a place for everyone at dsm-firmenich. dsm-firmenich is an Equal Opportunity and Affirmative Action Employer. dsm-firmenich people are as diverse as our customers. For us that includes a commitment to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law. We are committed to providing reasonable support for disabled applicants in our recruiting process. Should you need assistance, and are comfortable to share this, please let us know. About dsm-firmenich As innovators in nutrition, health, and beauty, dsm-firmenich reinvents, manufactures, and combines vital nutrients, flavors, and fragrances for the world's growing population to thrive. With our comprehensive range of solutions, with natural and renewable ingredients and renowned science and technology capabilities, we work to create what is essential for life, desirable for consumers, and more sustainable for the planet dsm-firmenich is a Swiss-Dutch company, listed on the Euronext Amsterdam, with operations in almost 60 countries and revenues of more than 12 billion. With a diverse, worldwide team of nearly 30,000 employees, we bring progress to life every day, everywhere, for billions of people. ********************* Agency Note Please note this is a direct search led by dsm-firmenich. We only accept applications from candidates, not from agencies nor subject to agency's fees, percentages or similar.

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.

Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there's no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that's the kind of work we want to be part of. Job Summary: The Senior level Data Scientist will play a critical role in bridging advanced analytics with actionable business strategies with our Manufacturing Science & Technology (MSAT) organization. This individual will lead efforts to design and implement sophisticated Analytical AI and machine learning models that solve real-world challenges and uncover new opportunities. This role exists to advance our capabilities in predictive analytics, enabling the organization to anticipate trends, optimize decision-making, and drive measurable outcomes. As we transition to cloud-based infrastructure, the Senior Data Scientist will lead the charge in leveraging the scalability and efficiency of modern cloud platforms to enhance our analytics framework. Additionally, this role is integral to fostering a culture of continuous improvement and learning within the data science team. The senior level Data Scientist will mentor junior team members, sharing expertise and promoting rigorous statistical thinking across the organization. By staying at the forefront of industry trends, this individual will ensure that our analytics practices remain cutting-edge and aligned with the evolving landscape. Key Responsibilities: Machine Learning & Statistical Analysis Leverage and analyze data from across the organization to deliver meaningful insights that provide enhanced user experience. Develop, implement, and optimize predictive analytics solutions. Deploy machine learning solutions in real-world contexts. Lead efforts to migrate and develop data science tools and workflows onto cloud platforms. Implement dimensionality reduction techniques (PCA, PLS) for feature selection and data preprocessing. Develop classification and regression models using various algorithms (Random Forests, SVM, Neural Networks). Apply clustering techniques for pattern discovery and segmentation. Validate model/ test assumptions, interpret model outputs and assess model performance with solid theoretical understanding. Develop visualization techniques to communicate statistical results. End-to-End Solution Development Support design and implementation of complete ML solutions from data ingestion to deployment. Support building scalable data processing pipelines and model serving infrastructure. Develop and maintain APIs for model deployment. Integrate solutions with existing business systems and databases. RPA Development & Integration Identify processes suitable for automation and propose RPA solutions. Design and implement RPA solutions to automate repetitive business processes. Integrate RPA workflows with ML models and data pipelines. Create documentation and training materials for RPA solutions. Monitor and maintain RPA performance and reliability. Key requirements: Bachelor's Degree is required. Bachelor's of Science in Life Sciences (Data Science and/or Computer Science) is preferred. Expertise in visualizing data that promotes action and ease of understanding. A deep understanding of statistical learning methods, including both the practical techniques of machine learning and the theoretical foundations of its algorithms. Expert level understanding of multivariate statistical methods. Strong proficiency in statistical methods and tools such as R, Python, or MATLAB. Aptitude for or experience with data engineering and ETL workflows. Experience identifying and recommending analytics tools, metrics and visualizations to monitor and improve business process performance, operational efficiency, and decision making. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services. Experience with at least one major RPA platform (UiPath, Blue Prism, or Automation Anywhere). Experience with data visualization tools like Looker, Power BI, or Tableau. Clear understanding of business process automation principles. Excellent problem solving and critical-thinking capabilities. Excellent written and verbal communication skills with the ability to lead and influence others. Strong collaboration and relationship building skills. Strong analytical and problem-solving skills. Every day, Lonza's products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically. People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a meaningful difference. Lonza is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a qualified individual with disability, protected veteran status, or any other characteristic protected by law.

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

Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there's no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that's the kind of work we want to be part of. Job Summary: The Senior level Data Scientist will play a critical role in bridging advanced analytics with actionable business strategies with our Manufacturing Science & Technology (MSAT) organization. This individual will lead efforts to design and implement sophisticated Analytical AI and machine learning models that solve real-world challenges and uncover new opportunities. This role exists to advance our capabilities in predictive analytics, enabling the organization to anticipate trends, optimize decision-making, and drive measurable outcomes. As we transition to cloud-based infrastructure, the Senior Data Scientist will lead the charge in leveraging the scalability and efficiency of modern cloud platforms to enhance our analytics framework. Additionally, this role is integral to fostering a culture of continuous improvement and learning within the data science team. The senior level Data Scientist will mentor junior team members, sharing expertise and promoting rigorous statistical thinking across the organization. By staying at the forefront of industry trends, this individual will ensure that our analytics practices remain cutting-edge and aligned with the evolving landscape. Key Responsibilities: Machine Learning & Statistical Analysis * Leverage and analyze data from across the organization to deliver meaningful insights that provide enhanced user experience. * Develop, implement, and optimize predictive analytics solutions. * Deploy machine learning solutions in real-world contexts. * Lead efforts to migrate and develop data science tools and workflows onto cloud platforms. * Implement dimensionality reduction techniques (PCA, PLS) for feature selection and data preprocessing. * Develop classification and regression models using various algorithms (Random Forests, SVM, Neural Networks). * Apply clustering techniques for pattern discovery and segmentation. * Validate model/ test assumptions, interpret model outputs and assess model performance with solid theoretical understanding. * Develop visualization techniques to communicate statistical results. End-to-End Solution Development * Support design and implementation of complete ML solutions from data ingestion to deployment. * Support building scalable data processing pipelines and model serving infrastructure. * Develop and maintain APIs for model deployment. * Integrate solutions with existing business systems and databases. RPA Development & Integration * Identify processes suitable for automation and propose RPA solutions. * Design and implement RPA solutions to automate repetitive business processes. * Integrate RPA workflows with ML models and data pipelines. * Create documentation and training materials for RPA solutions. * Monitor and maintain RPA performance and reliability. Key requirements: * Bachelor's Degree is required. Bachelor's of Science in Life Sciences (Data Science and/or Computer Science) is preferred. * Expertise in visualizing data that promotes action and ease of understanding. * A deep understanding of statistical learning methods, including both the practical techniques of machine learning and the theoretical foundations of its algorithms. * Expert level understanding of multivariate statistical methods. * Strong proficiency in statistical methods and tools such as R, Python, or MATLAB. * Aptitude for or experience with data engineering and ETL workflows. * Experience identifying and recommending analytics tools, metrics and visualizations to monitor and improve business process performance, operational efficiency, and decision making. * Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services. * Experience with at least one major RPA platform (UiPath, Blue Prism, or Automation Anywhere). * Experience with data visualization tools like Looker, Power BI, or Tableau. * Clear understanding of business process automation principles. * Excellent problem solving and critical-thinking capabilities. * Excellent written and verbal communication skills with the ability to lead and influence others. * Strong collaboration and relationship building skills. * Strong analytical and problem-solving skills. Every day, Lonza's products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically. People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a meaningful difference. Lonza is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a qualified individual with disability, protected veteran status, or any other characteristic protected by law.

National Capitol Contracting is seeking Data Scientists of Junior, Senior and SME level to support an upcoming contract with the Naval Sea Systems Command (NAVSEA) and the Shipboard Maintenance Performance Group (SMPG) and help bring cutting edge data analytics to the Navy Fleet Shipyards. Key Areas of Responsibility * Assist in the stand-up (both technical and functional) of the Data Analytics Lab located at NAVSEA Naval Shipyards, recommend software/hardware analytics and data management toolsets, and recommend functional responsibilities for the other SMDAL staff members. * Assist in the development of data procedures and policies, govern data assets, and improve the quality and access to data across the organization. * Analyze and streamline the processes and technology for using data to manage ship maintenance operations, and draw valuable insights from data through data science and business intelligence. * Assist in the implementation of industry best practices, selection of enabling tools and technologies, driving innovation, and contributing to new service offerings for our ship maintenance stakeholders. * Assist in the development of policies and procedures to ensure corporate data systems information protection, data governance, data quality, and data life cycle management. Government Security Clearance Requirement * Government security clearance requirements may vary amongst positions, however, a minimum of a Top Secret clearance with SCI eligibility and willingness to undergo a CI and/or FS polygraph is required. Minimum Requirements * Requirements may vary per job level and location, however, the candidate should possess the following at the time of application: * Bachelors degree in Computer Science, Data Science, Computational Science, or related field. * Experience building and leading data management and analytics projects and initiatives for Federal clients. * Ability to concisely and convincingly communicate (both verbally and written) with both technical and non-technical stakeholders. * Experience using data for descriptive, diagnostic, predictive, and prescriptive analytics. * Knowledge of big data technology infrastructure and environments. * Proficient in a broad range of data tools and technologies (e.g., Oracle, SQL, SAP IQ, etc.), visualization/analytics tools (e.g., Tableau, Qlik, MicroStrategy, SAP Business Objects, etc.), as well as machine languages (e.g., Python, R/RStudio, Java, C#, SQL, etc.) * Experience in developing machine learning models. * Results-driven, creative, and analytical. * Strong leadership and ability to work within cross-functional groups. Preferred Qualifications * Masters of Science Degree in Computer Science, Data Science, Computational Science or related field. Special Position Requirements Environment/Physical Demands: Office Setting, sitting for long periods of time, and utilizing computer/screens for long periods of time. This is a full-time position. NCC offers a competitive compensation packages: salary is commensurate with experience. Benefits include medical, dental, flexible spending, three weeks accrued Paid Time Off (PTO), paid federal holidays, and 401(k) with company match. NCC is an Equal Opportunity Employer (Minority/Female/Disabled/Veteran).

Pay Philosophy The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. Description Join the Personal Lines Auto Risk Analytics team as a Grade 18 Actuary! In this role, you will be part of a collaborative team that provides valuable insights and guidance for managing our Personal Lines Auto portfolio. Our team's mission is to provide state indications for tailored profit guidance through timely and robust analyses. This role may have in-office requirements depending on candidate location. As an Actuary, you will: * Lead work on state indications that serve as a foundation for rate guidance, ensuring that our rate actions and underwriting levers improve each state's profit position. * Play a pivotal role in shaping state indication strategy, leveraging a robust suite of actuarial methods. * Help identify and propose enhancements to our existing processes and methodologies to drive for operational excellence. * Be an influential partner with other Risk Analytics subject matter experts to ensure a comprehensive understanding of unique state features, and collaborate with Directors of State Operations to develop customized state levers. * Share your insights and recommendations which will greatly influence state-level decision-making and contribute to our goal of achieving top-quartile profitability. * Build trust, credibility, and strong relationships will enable you to influence decisions and execution beyond the Auto Analytics team. * Be a senior member of the team and also contribute to fostering an inclusive, equitable, and high-performing culture. * Coach and mentor junior team members, sharing your expertise and supporting their development. Responsibilities: * Deliver state level indications to internal stakeholders to drive actions and influence decisions to achieve top quartile profitability. * Build indications tools and processes to increase our organizational understanding of our methodology and inform state level profitability position. * Proactively identify opportunities, drive analysis, and make recommendations for appropriate strategies to develop, evaluate and enhance state level profitability. * Act as a trusted partner to State Management to help inform and influence state-specific strategy and tactics, including pricing and underwriting levers. * Collaborate with Country Wide (CW) Indications, CW State Analytics, Actuarial, Finance, Claims and Data Science to gain better understanding and assess and improve profitability with a state focus. * Support cross-team initiatives to enrich the deliverables with state-specific insights. * Building trust and credibility with teams beyond State Analytics to drive decisions and execution. * Support an inclusive, equitable and high performing culture. * Coach and mentor junior team members. Qualifications * Bachelor's degree required; Master's degree preferred. * Associateship or Fellowship in the Casualty Actuarial Society (ACAS/FCAS) designation preferred or comparable education/designation with relevant experience. * Minimum 5-7 years relevant experience required. * Sound knowledge of actuarial techniques and standards, as well as other business operations including financial, underwriting, legal, statistics, claims, sales, etc. * Advanced communication and interpersonal skills and ability to build relationships and interact effectively with others within and outside the organization. * Ability to motivate and mentor peers and motivate and train subordinates. * Advanced computing skills (MS Office Excel, SAS, etc.) with ability to build complex models. About Us As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally. At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow. We are proud to support a diverse, equitable and inclusive workplace, where all employees feel a sense of community, belonging and can do their best work. Our seven Employee Resource Groups (ERGs) offer a centralized, open space to bring employees and allies together to connect, learn and engage. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: *********************** Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. Fair Chance Notices * California * Los Angeles Incorporated * Los Angeles Unincorporated * Philadelphia * San Francisco

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.

When you join the team at Unum, you become part of an organization committed to helping you thrive. Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life's moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide: Award-winning culture Inclusion and diversity as a priority Performance Based Incentive Plans Competitive benefits package that includes: Health, Vision, Dental, Short & Long-Term Disability Generous PTO (including paid time to volunteer!) Up to 9.5% 401(k) employer contribution Mental health support Career advancement opportunities Student loan repayment options Tuition reimbursement Flexible work environments *All the benefits listed above are subject to the terms of their individual Plans . And that's just the beginning… With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you're directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today! General Summary:We are seeking an experienced data scientist to join the Unum Marketing Analytics team. The ideal candidate is someone who is excited to transform data into actionable insights and impactful solutions which drive business results and improve the customer experience. The role requires significant technical expertise in the fields of computer programming, applied statistics and data manipulation; and relies on increasing business knowledge. While some review by a manager is expected, this individual will take initiative in identifying and executing data science approaches to support business priorities. Location: 2 days onsite per week at our Portland, ME, Chattanooga, TN, Columbia, SC or Atlanta (Sandy Springs), GA campus. Job Specifications: Education: Bachelor's in a quantitative field required; Master's or PhD preferred. Experience: 6+ years of relevant professional experience preferred. Technical Skills: Programming & Automation: Expertise in building automated analytics pipelines using file I/O, databases, APIs, and cloud platforms. Experience with DevOps, data mining, web scraping, and object-oriented software preferred. Data Visualization: Proficiency in multiple visualization tools, with expertise in static and dynamic visualizations. Statistical Modeling: Strong knowledge of statistical inference, regression, machine learning, feature selection, and feature extraction. Experience leading end-to-end machine learning projects. Data Processing (ETL): Expertise in SQL, integrating multiple data sources, and troubleshooting complex queries. Ability to create logical data models and manage external data partnerships. Business & Leadership Skills: Strong communication and project management abilities. Experience in financial services preferred. Ability to prioritize and manage multiple projects while guiding junior staff. Experience working with executive leadership. Coaching and mentoring team members. Strong adaptability and change management skills. Key Responsibilities: Design and implement analytical solutions using optimization, simulation, and statistical methods to drive business decisions. Integrate and process large datasets from multiple internal and external sources. Construct predictive models to analyze trends, forecast behaviors, and assess risks. Interpret and communicate findings effectively to influence decision-making. Lead automation efforts to integrate solutions into business processes. Stay current with emerging statistical methods and tools. Mentor junior Data Scientists. Preferred Qualities: Entrepreneurial mindset, problem-solving skills, continuous learner, and industry knowledge in marketing or insurance. #LI-TS1 #LI-MULTI #LI-HYBRID ~IN1 Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide. Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME, and Baton Rouge, LA - plus over 35 US field offices. Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide. The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience. $89,400.00-$183,500.00 Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short & long-term disability), performance-based incentive plans, paid time off, and a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not. All benefits are subject to the terms and conditions of individual Plans. Company: Unum