Data scientist jobs in New Hampshire - 58 jobs

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 Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 8. 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.) 9. 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: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $147,000/year to $208,000/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.

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. As part of the Privacy Science team within Privacy Hub you will play a crucial role in ensuring that privacy of patients is safeguarded in the modern world of data sharing. As well as working on real data, you will be involved in exciting research to keep us as industry leaders in this area, and stimulating discussions on re-identification risk. You will be supported in developing/consolidating data analysis and coding skills to become proficient in the analysis of large health-related datasets. **You Will:** + Critically analyze large health datasets using standard and bespoke software libraries + Discuss your findings and progress with internal and external stakeholders + Produce high quality reports which summarise your findings + Contribute to research activities as we explore novel and established sources of re-identification risk **What You Will Bring to the Table:** + Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports + A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods + Seeks to understand real-world data in context rather than consider it in abstraction. + Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language + Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines + Initiative and ability to independently explore and research novel topics and concepts as they arise, to expand Privacy Hub's knowledge base + An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation + Familiarity with Amazon Web Services cloud-based storage and computing facilities **Bonus Points If You Have:** + Experience creating documents using LATEX + Detailed knowledge of one or more types of health information, e.g., genomics, disease, health images + Experience working with or supporting public sector organizations, such as federal agencies (e.g., CMS, NIH, VA, CDC), state health departments, or public health research partners. Familiarity with government data environments, procurement processes, or privacy frameworks in regulated settings is highly valued. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $104,000-$130,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

Value-Based Care (VBC) Analytics is an independent organization covering the Baylor Scott & White Health Plan (Payer) and Baylor Scott & White Quality Alliance (Accountable Care Organization) analytical and data science needs. We are seeking a customer-facing Healthcare Data Scientist who works closely with key business stakeholders within the value-based care team, to develop use cases related to difficult to solve and complex business challenges. The ideal candidate will work on creating machine learning models using appropriate techniques to derive predictive insights that enable stakeholders to glean insights and enable actions to improve business outcomes. **ESSENTIAL FUNCTIONS OF THE ROLE** + Communication and Consulting: Summarize and effectively communicate complex data science concepts to inform stakeholders, gain approval, or prompt action from non-technical audience from data-driven recommendations. + Applied Machine Learning: Implement machine learning solutions within production environments at scale. Apply appropriate machine learning techniques that directly impact HEDIS/Stars initiatives + Data Collection and Optimization: Collect and analyze data from a variety of SQL environments (Snowflake, SQL Server) and other data sources, including vendor derived data, electronic health records, and claims data. + Analyze Healthcare Data: Conduct detailed analyses on complex healthcare datasets to identify trends within HEDIS/Stars and utilization, patterns, and insights that support value-based care initiatives, particularly in quality, adherence to standards of care. + Stay Informed: Stay up to date on the latest advancements in data science and healthcare analytics to continuously improve our methodologies and tools. **KEY SUCCESS FACTORS** The ideal candidate will have some of the following skills and an eagerness to learn the rest. + Healthcare Knowledge: Understanding and prior experience in handling data pertaining to HEDIS, Stars measures and Regulatory specifications. Experience in admin claims data sources such as medical/pharmacy claims, social determinants of health (SDOH) and electronic health records is also required. + Education: Bachelor's or advanced degree in mathematics, statistics, data science, Public Health or another quantitative field. + Effective Communication: Experienced in communicating findings and recommendations directly to Executive-level customers and healthcare professionals. + Analytics Skills: Academic or professional experience conducting analytics and experimentation using algorithms associated with advanced analytics topics, including binary classification algorithms, regression algorithms, Neural Network frameworks, Natural Language Processing, etc. + Technical Skills: Proficiency in common language / tools for AI/ML such as Python, PySpark. Understanding of software engineering topics, including version control, CI/CD, and unit tests. + Problem Solving: A passion for solving puzzles and digging into data. + Technology Stack: Familiarity with deploying data science products at scale in a cloud environment such as Snowflake, Databricks or Azure AI/ML Studio. **BENEFITS** Our competitive benefits package includes the following + · Immediate eligibility for health and welfare benefits + · 401(k) savings plan with dollar-for-dollar match up to 5% + · Tuition Reimbursement + · PTO accrual beginning Day 1 Note: Benefits may vary based upon position type and/or level **QUALIFICATIONS** - EDUCATION - Masters' or Bachelors plus 2 years of work experience above the minimum qualification - EXPERIENCE - 3 Years of Experience As a health care system committed to improving the health of those we serve, we are asking our employees to model the same behaviours that we promote to our patients. As of January 1, 2012, Baylor Scott & White Health no longer hires individuals who use nicotine products. We are an equal opportunity employer committed to ensuring a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Job Description: Principal Data Scientist The Role Do you want to work at the epicenter of new and emerging technologies? Not just tinkering around the edges, rather building critical solutions that will benefit our teams for years to come. Those who love to work with data may see this as the pinnacle of opportunities anywhere in the industry. Asset Management's Advanced Process Solutions team is seeking a Principal Data Scientist with experience in Large Language Models, Natural Language Processing, Machine learning, various Deep Learning related technologies, predictive and prescriptive analytics. If you want to build, design, and implement machine learning applications, such as: modeling, data ingestion, building data pipelines, writing APIs; as well as, designing and implementing natural language processing (NLP) and other machine learning algorithms, then this is the role for you! The Expertise and Skills You Bring Deep understanding of Machine Learning & Deep Learning algorithms Proven experience working with business partners to understand their problem, design and model a solution, and bring a prototype to market efficiently Practical LLM application experience: RAG architectures, vector databases (e.g. Pinecone, FAISS), prompt engineering, evaluation frameworks, and guardrails/safety. Knowledge of most of the following quantitative fields: Natural Language Processing, OCR Information Retrieval, Machine Comprehension, Question Answering, Reinforcement Learning, Knowledge Graph, Causal Inference, and Design of Experiment Programming skills and experience, such as Python, Scikit Learn, PyTorch etc. Expertise in navigating large data sets (structured and unstructured), discovering, cleaning, analyzing, and preparing data for ingestion Experience building and hosting data pipelines and RESTful APIs Professional experience building scalable applications in AWS Familiarity with CI/CD and DevOps standard methodologies and/or ML-Ops Additional technical skills that are nice to have: Snowflake, JavaScript, Spark, Serverless, Jenkins, Concourse, NoSQL databases, Tableau, R, Linux A creative problem solver, who thrives on working through complex challenges and is fueled by a natural curiosity to keep up with continuous advancements and trends in technology Strong technical foundation with an ability to learn new skills and technologies as needed Great collaboration and interpersonal skills while also demonstrating the ability to be self-starter and independent thinker Strong communication and presentation skills, with the ability to explain complex technical/analytical concepts to audiences at all levels (technical and non-technical) Computer science / mathematics / quantitative educational background Working knowledge of Investment Management business domain knowledge across some combination of Research, Portfolio Management, Trading, Compliance, and Investment Operations is helpful, but not necessary Bachelors or equivalent with 7+ years of experience or Masters with 5+ years of experience The Team The Advanced Process Solutions Emerging Solutions is on the frontier of emerging technology and delivers innovative, scalable, industry-leading tools that enable Asset Management to achieve competitive advantage globally. Our work in this truly groundbreaking initiative will provide a major contribution to Asset Management's business operations and scale and efficiency objectives. Certifications:Category:Data Analytics and Insights Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

**Employment Type:** FullTime Remote **Department** Finance & Operations, Data **Compensation:** $170,800 - $200,720 - Offers Equity _At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click_ here (****************************** _._ **Overview** We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. **About the Team:** The mission of the Data Science team at Confluent is to serve as the central nervous system of all things data for the company: we build infrastructure, metrics, insights, and models. Our team of data scientists is dedicated to designing and deploying advanced data solutions that enable organizations across the globe harness the power of real-time data. We focus on driving actionable insights and optimizing business outcomes across our customers' data ecosystems. Our outputs enable data-driven thinking and help optimize every part of the business. There are limitless opportunities for an ambitious data scientist to make an immediate and meaningful impact within our high-growth company. **About the Role:** As a Senior Data Scientist at Confluent, you will be a key player in helping define the product roadmap and driving revenue growth at Confluent. You will collaborate with our Product team and cross-functional partners across the organization. You will use data and analysis to identify and solve challenges, unlocking growth and adoption across our suite of products. This role requires a strong blend of technical skills, strategic thinking and leadership skills to influence strategy and investment decisions. **What You Will Do:** + Own prioritization for your domain and collaborate with product managers, engineers, marketing leads, and other stakeholders to define the data science roadmap for your product area + Work across the org to define and measure success metrics for new features and initiatives + Utilize data to uncover trends, identify opportunities for growth, drive strategic product decisions, and shape product roadmaps + Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to improve product experience + Share actionable insights and recommendations with leadership at various levels, playing a pivotal role in determining Product strategy + Collaborate with other data scientists across our organization to share best practices, learn new analytical techniques, and champion an organizational culture where data is central to decision making + Peer review teammates' work and provide feedback, working to upskill more junior team members **What You Will Bring:** + Strong stakeholder management skills with the ability to influence and build relationships at all levels of the organization. + 7+ years of experience in Data Science/Analytics + Excellent communication skills, and ability to collaborate effectively with technical and non-technical stakeholders + Exceptional problem solving skills and analytical skills + Strong proficiency in data manipulation with data querying languages (e.g. SQL) and scripting languages (e.g. Python). + Proficiency in data visualization and building dashboards with tools such as Tableau + Experience with A/B testing and experiment best practices + Experience and knowledge of causal inference, machine learning and other advanced analytical methods + Bachelor or advanced degree in a quantitative discipline: computer science, engineering, statistics, economics, etc. **What Gives You an Edge:** + Experience in SaaS/Product-led Growth companies **Ready to build what's next? Let's get in motion.** **Come As You Are** Belonging isn't a perk here. It's the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what's possible. We're proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.

***************** is planning to bring a million developers and a billion users onchain. We need your help to make that happen. At Base, we live by ourhttps://x.com/jessepollak/status/***********32673997, where our team rises to the challenge, embraces hard weeks, and makes small to significant personal tradeoffs when necessary to drive impact and innovation. Data Science is an integral component of Coinbase's product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company's bottom line. *What you'll be doing:* * Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team's decision making. * Act as owner for a broad scope of data and metrics, from core logging to presentation of data visualizations. * Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs. * Maintain a high bar for statistical rigor on your team. Ensure that we're conducting experimentation and causal analyses that build confidence with your stakeholders. *What we look for in you:* * A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience * Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces. * Ability to influence external stakeholders by synthesizing data learnings into compelling stories. * Practical expertise in applying complex modeling frameworks to practical business problems. * Professional experience using SQL and Python. * Experience working with digital products in an iterative development cycle. * Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution. Disclaimer: Applying for a specific role does not guarantee consideration for that exact position. Leveling and team matching are assessed throughout the interview process. ID: G2462 *Pay Transparency Notice:* Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility + equity eligibility**+ benefits (including medical, dental, vision and 401(k)). Pay Range: $180,370-$212,200 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the *********************************************** in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations*********************************** Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available **************************************************************** AI Disclosure For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. *The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com.

**Anywhere** **Type:** Permanent **Category:** Development **Industry:** Retail **Workplace Type:** Remote **Reference ID:** JN -122025-104840 **Shortcut:** ********************************** + Description + Recommended Jobs **Description:** A leading home improvement specialty retailer operating 2,300+ stores across the U.S., Canada, and Mexico is seeking a talented Sr. Data Scientist to drive business profitability and customer experience through advanced analytics. This is a hybrid role working 4 days/week onsite near Smyrna. Relocation assistance is available if needed. _This is a full-time, permanent opportunity, offering a competitive salary and comprehensive benefits package. Qualified applicants must be willing and able to work on a w2 basis._ _Rate: $150k - $160k / yr. w2_ **Responsibilities:** - Design and develop sophisticated algorithms and models using large datasets - Create business insights through advanced analytical methodologies - Collaborate with cross-functional teams to solve complex business challenges - Mentor junior data science team members - Identify and leverage new business opportunities through data science **Experience Requirements:** - Demonstrated experience in pricing analytics or optimization - Strong understanding of prescriptive pricing and dealer discounting strategies - Experience with operations research and optimization value space problems - Strong Python programming skills - Demonstrated ability to communicate technical insights to business leaders Preferred Skills: - Experience with Google BigQuery, SQL - Optimization tools (e.g., Gurobi) - Tableau or similar data visualization software **Education Requirements:** - Master's or PhD in Computer Science, Math, Statistics, or related field **_Recruitment Transparency Notice_** **_Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (_** **_noreply@eliassen.com_** **_, ************* inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process._** _Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range._ _W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality._ _Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact_ _********************_ _._ _About Eliassen Group:_ _Eliassen Group is a leading strategic consulting company for human-powered solutions. For over 30 years, Eliassen has helped thousands of companies reach further and achieve more with their technology solutions, financial, risk & compliance, and advisory solutions, and clinical solutions. With offices from coast to coast and throughout Europe, Eliassen provides a local community presence, balanced with international reach. Eliassen Group strives to positively impact the lives of their employees, clients, consultants, and the communities in which they operate._ _Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status._ _Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!_

Job DescriptionPrincipal Data Scientist - (Gen AI, Machine Learning): Are you energized by the idea of innovating with Generative AI? Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence? Do you dream of building ground-breaking products that define the future of AI-driven network management? Then come, advance with us at Extreme.This is a greenfield opportunity to shape next-gen networking experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing. You will help define every aspect of the user journey, product vision, and technical roadmap, and you will drive innovation from concept to delivery.There has never been a better time to join Extreme. With multiple acquisitions expanding our portfolio and market strategy, we are experiencing unprecedented growth worldwide. Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner, Extreme is committed to a culture of diversity, inclusion, and equality, where every employee thrives because of their differences, not despite them.Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence.Job Responsibilities Define and drive the long-term data science and ML strategy, influencing both product direction and organizational priorities Lead high-impact research initiatives in ML, GenAI, and Graph ML, push the boundaries of applied science, and establish best practices for scalable adoption Partner with engineering and product leadership to align data science innovation with business goals, shaping platform and infrastructure investments Mentor and guide staff- and senior-level scientists, set technical direction, and foster a culture of excellence and innovation Represent the organization externally through publications, talks, and collaborations, strengthening the company's thought leadership in AI and ML Requirements: Degree in Computer Science, Mathematics, or a related field 8+ years of experience in applied ML research and production deployment 3+ years of hands-on experience building Generative AI solutions such as RAG, AI Agents, or LLM fine-tuning in production Experience with Graph ML and Graph technologies such as GNNs or GraphRAG in production Proven track record of end-to-end ownership including design, experimentation, validation, deployment, and scaling of ML systems Experience deploying solutions on cloud platforms such as AWS, Azure, or GCP Demonstrated ability to solve highly complex, ambiguous, cross-domain problems with measurable business impact Preferred Qualifications MS or PhD in Computer Science, Machine Learning, or a related discipline Experience with distributed Big Data and ML platforms such as Spark, Flink, Kafka, PySpark, or Lakehouse Recognized track record in the ML and AI community through publications, patents, open-source contributions, or conference talks Strong ability to influence at the organizational level by driving strategy and fostering cross-functional alignment We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description: Principal Data Scientist The Role Do you want to work at the epicenter of new and emerging technologies? Not just tinkering around the edges, rather building critical solutions that will benefit our teams for years to come. Those who love to work with data may see this as the pinnacle of opportunities anywhere in the industry. Asset Management's Advanced Process Solutions team is seeking a Principal Data Scientist with experience in Large Language Models, Natural Language Processing, Machine learning, various Deep Learning related technologies, predictive and prescriptive analytics. If you want to build, design, and implement machine learning applications, such as: modeling, data ingestion, building data pipelines, writing APIs; as well as, designing and implementing natural language processing (NLP) and other machine learning algorithms, then this is the role for you! The Expertise and Skills You Bring * Deep understanding of Machine Learning & Deep Learning algorithms * Proven experience working with business partners to understand their problem, design and model a solution, and bring a prototype to market efficiently * Practical LLM application experience: RAG architectures, vector databases (e.g. Pinecone, FAISS), prompt engineering, evaluation frameworks, and guardrails/safety. * Knowledge of most of the following quantitative fields: Natural Language Processing, OCR Information Retrieval, Machine Comprehension, Question Answering, Reinforcement Learning, Knowledge Graph, Causal Inference, and Design of Experiment * Programming skills and experience, such as Python, Scikit Learn, PyTorch etc. * Expertise in navigating large data sets (structured and unstructured), discovering, cleaning, analyzing, and preparing data for ingestion * Experience building and hosting data pipelines and RESTful APIs * Professional experience building scalable applications in AWS * Familiarity with CI/CD and DevOps standard methodologies and/or ML-Ops * Additional technical skills that are nice to have: Snowflake, JavaScript, Spark, Serverless, Jenkins, Concourse, NoSQL databases, Tableau, R, Linux * A creative problem solver, who thrives on working through complex challenges and is fueled by a natural curiosity to keep up with continuous advancements and trends in technology * Strong technical foundation with an ability to learn new skills and technologies as needed * Great collaboration and interpersonal skills while also demonstrating the ability to be self-starter and independent thinker * Strong communication and presentation skills, with the ability to explain complex technical/analytical concepts to audiences at all levels (technical and non-technical) * Computer science / mathematics / quantitative educational background * Working knowledge of Investment Management business domain knowledge across some combination of Research, Portfolio Management, Trading, Compliance, and Investment Operations is helpful, but not necessary * Bachelors or equivalent with 7+ years of experience or Masters with 5+ years of experience The Team The Advanced Process Solutions Emerging Solutions is on the frontier of emerging technology and delivers innovative, scalable, industry-leading tools that enable Asset Management to achieve competitive advantage globally. Our work in this truly groundbreaking initiative will provide a major contribution to Asset Management's business operations and scale and efficiency objectives. Certifications: Category: Data Analytics and Insights Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

The **Enterprise** **Fraud Strategy** group provides bank-wide support for detecting, preventing, and investigating fraudulent activity across multi-channel payment systems. The **Fraud Data Scientist** reports directly to the Manager, Fraud Reporting & Analytics, supporting business reporting and analytical needs for fraud initiatives. The **Fraud Data Scientist** works as a member of a reporting and analytics team and utilizes tools for conducting analytics for managing fraud strategies, as well as creating reports consumed by LOB (lines of business) senior executives. This is a subset of the overall responsibilities which involves other multiple initiatives as assigned by Bank Operations leadership. **This role is hybrid (Mon through Thu on-site / Fri remote) for candidates in the Kansas City metropolitan area and open to qualified remote candidates outside of the Kansas City area but only within the US.** **_How you'll spend your time:_** + Work closely across the organization to develop and implement statistical analysis, artificial intelligence, machine learning processes and algorithms, and deep learning for fraud modeling. + Use dynamic techniques like Machine Learning to gain insights about the future. + Answer the "What will happen, and What should be done?" questions. + Gather business detail from peers and internal customers to adapt/enhance models. + Routinely measure model performance and implement modifications as needed. **_We're excited to talk if you have:_** + Master's Degree in Computer Science, Math, Economics, Statistics, or another quantitative field and 2+ years of unsupervised data modeling and segmentation experience **OR** any combination of education and experience that would provide an equivalent background. + Proven expert level foundation of math, statistics, and programming. + Demonstrated hands-on working knowledge of R or Python, Snowflake, SQL Server or similar database management tool and visualization tools such as Tableau or Power BI. + Superior critical thinking skills. + Strong proficiency in statistical algorithm development and evaluation. + Proficiency in advanced statistics, hyperparameter tuning, A/B Testing, predictive modeling, recommendation systems, propensity scoring, natural language processing, clustering, customer segmentation, data acquisition, mining structured and unstructured data, designing tools, automation systems, and data frameworks. **_Bonus Points if you have:_** + Banking or financial services industry experience. + Fraud reporting or analytics experience. **Applicants must have legal authority to work in the United States. Work Visa sponsorship not available for this position.** Deadline to Apply: March 8, 2026 **Compensation Range:** $69,230.00 - $149,000.00 _The posted compensation range on this listing represents UMB's standard for this role, but the actual compensation may vary by geographic location, experience level, and other job-related factors. In addition, this range does not encompass the full earning potential for this role. Please see the description of benefits included with this job posting for additional information._ UMB offers competitive and varied benefits to eligible associates, such as Paid Time Off; a 401(k) matching program; annual incentive pay; paid holidays; a comprehensive company sponsored benefit plan including medical, dental, vision, and other insurance coverage; health savings, flexible spending, and dependent care accounts; adoption assistance; an employee assistance program; fitness reimbursement; tuition reimbursement; an associate wellbeing program; an associate emergency fund; and various associate banking benefits. Benefit offerings and eligibility requirements vary. **Are you ready to be part of something more?** You're more than a means to an end-a way to help us meet the bottom line. UMB isn't comprised of workers, but of people who care about their work, one another, and their community. Expect more than the status quo. At UMB, you can expect more heart. You'll be valued for exactly who you are and encouraged to support causes you care about. Expect more trust. We want you to do the right thing, no matter what. And, expect more opportunities. UMBers are known for having multiple careers here and having their voices heard. _UMB and its affiliates are committed to inclusion and diversity and provide employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including gender, pregnancy, sexual orientation, and gender identity), national origin, age, disability, military service, veteran status, genetic information, or any other status protected by applicable federal, state, or local law. If you need accommodation for any part of the employment process because of a disability, please send an e-mail to_ _*************************_ _to let us know the nature of your request._ _If you are a California resident, please visit our_ Privacy Notice for California Job Candidates (*********************************************************************************************************************************** _to understand how we collect and use your personal information when you apply for employment with UMB._ **_Who we are_** We are more than a company. We are advisors, consultants, problem solvers, friends, community members, experts, and we are here to help you make the best of every moment with a financial foundation that can help you succeed. Learn more about UMB's vision (****************************************************************************************************** Check out the road to a career at UMB

Public Consulting Group LLC (PCG) is a leading public sector solutions implementation and operations improvement firm that partners with health, education, and human services agencies to improve lives. Founded in 1986, PCG employs approximately 2,000 professionals throughout the U.S.-all committed to delivering solutions that change lives for the better. The firm is a member of a family of companies with experience in all 50 states, and clients in three Canadian provinces and Europe. PCG offers clients a multidisciplinary approach to meet challenges, pursue opportunities, and serve constituents across the public sector. To learn more, visit ***************************** . **Duties and Responsibilities** + Supports Actuarial Analysis and Financial Modeling + Develops OPEB Reports + Evaluate actuarial programs and makes recommendations for improvements. + Analyzes and interprets federal and state law and regulation. + Assesses best practices and provide technical assistance to clients. + Manages small projects, staff and tasks with limited supervision while meeting and exceeding performance expectations. + Facilitates client discussions. + Manages daily project functions and client interaction. + Support proposal writing teams for responses related to actuarial services + Prepares other written reports and materials for clients. **Required Skills** + Strong quantitative skills and able to analyze and interpret financial data. + Ability to research, analyze and interpret policy, legal briefs and regulations. + Able to work independently and consistently achieve excellent results. + Able to work effectively with all members of project teams. + Outstanding oral and written presentation skills + Demonstrated initiative and the ability to successfully identify new business opportunities and up-sell to existing customers. **Qualifications** + Bachelor degree or ten years experience required, graduate degree preferred + ASA or FSA credentials with OPEB and retiree experience + Minimum 5 years' relevant work experience. **Working Conditions** + Remote + Some travel required **The above is intended to describe the general contents and requirements of work being performed by people assigned to this classification. It is not intended to be construed as an exhaustive statement of all duties, responsibilities or skills of personnel so classified.** **PCG does not sponsor newly hired foreign national workers for work authorization, including H-1B sponsorship** . \#LI \#LI-LR1 \#LI-remote **Compensation:** Compensation for roles at Public Consulting Group varies depending on a wide array of factors including, but not limited to, the specific office location, role, skill set, and level of experience. As required by applicable law, PCG provides a reasonable range of compensation for this role. In addition, PCG provides a range of benefits for this role, including medical and dental care benefits, 401k, PTO, parental leave, bereavement leave. **As required by applicable law, PCG provides the following reasonable range of compensation for this role: $78,300-$121,800. In addition, PCG provides a range of benefits for this role, including medical and dental care benefits, 401k, PTO, parental leave, bereavement leave.** PCG does not sponsor newly hired foreign national workers for work authorization, including H-1B sponsorship. **EEO Statement:** Public Consulting Group is an Equal Opportunity Employer dedicated to celebrating diversity and intentionally creating a culture of inclusion. We believe that we work best when our employees feel empowered and accepted, and that starts by honoring each of our unique life experiences. At PCG, all aspects of employment regarding recruitment, hiring, training, promotion, compensation, benefits, transfers, layoffs, return from layoff, company-sponsored training, education, and social and recreational programs are based on merit, business needs, job requirements, and individual qualifications. We do not discriminate on the basis of race, color, religion or belief, national, social, or ethnic origin, sex, gender identity and/or expression, age, physical, mental, or sensory disability, sexual orientation, marital, civil union, or domestic partnership status, past or present military service, citizenship status, family medical history or genetic information, family or parental status, or any other status protected under federal, state, or local law. PCG will not tolerate discrimination or harassment based on any of these characteristics. PCG believes in health, equality, and prosperity for everyone so we can succeed in changing the ways the public sector, including health, education, technology and human services industries, work. Public Consulting Group is an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, protected veteran status, or status as a qualified individual with a disability. VEVRAA Federal Contractor.

At Navista, our mission is to empower community oncology practices to deliver patient-centered cancer care. Navista, a Cardinal Health company, is an oncology practice alliance co-created with oncologists and practice leaders that offers advanced support services and technology to help practices remain independent and thrive. True to our name, our experienced team is passionate about helping oncology practices navigate the future. We are seeking an innovative and highly skilled **Senior Data Scientist** with specialized expertise in Generative AI (GenAI), Large Language Models (LLMs), and Agentic Systems to join the Navista - Data & Advanced Analytics team supporting the growth of our Navista Application Suite and the Integrated Oncology Network (IoN). In this critical role, you will be at the forefront of designing, developing, and deploying advanced AI solutions that leverage the power of generative models and intelligent agents to transform our products and operations. You will be responsible for pushing the boundaries of what's possible, from foundational research to production-ready applications, working with diverse datasets and complex problem spaces, particularly within the oncology domain. The ideal candidate will possess a deep theoretical understanding and practical experience in building, fine-tuning, and deploying LLMs, as well as architecting and implementing agentic frameworks. You will play a key role in shaping our AI strategy, mentoring junior team members, and collaborating with cross-functional engineering and product teams to bring groundbreaking AI capabilities to life, including developing predictive models from complex, often unstructured, oncology data. **_Responsibilities_** + **Research & Development:** Lead the research, design, and development of novel Generative AI models and algorithms, including but not limited to LLMs, diffusion models, GANs, and VAEs, to address complex business challenges. + **LLM Expertise:** Architect, fine-tune, and deploy Large Language Models for various applications such as natural language understanding, generation, summarization, question-answering, and code generation, with a focus on extracting insights from unstructured clinical and research data. + **Agentic Systems Design:** Design and implement intelligent agentic systems capable of autonomous decision-making, planning, reasoning, and interaction within complex environments, leveraging LLMs as core components. + **Predictive Modeling:** Develop and deploy advanced predictive models and capabilities using both structured and unstructured data, particularly within the oncology space, to forecast outcomes, identify trends, and support clinical or commercial decision-making. + **Prompt Engineering & Optimization:** Develop advanced prompt engineering strategies and techniques to maximize the performance and reliability of LLM-based applications. + **Data Strategy for GenAI:** Work with data engineers to define and implement data collection, preprocessing, and augmentation strategies specifically tailored for training and fine-tuning generative models and LLMs, including techniques for handling and enriching unstructured oncology data (e.g., clinical notes, pathology reports). + **Model Evaluation & Deployment:** Develop robust evaluation metrics and methodologies for generative models, agentic systems, and predictive models. Oversee the deployment, monitoring, and continuous improvement of these models in production environments. + **Collaboration & Leadership:** Collaborate closely with machine learning engineers, software engineers, and product managers to integrate AI solutions into our products. Provide technical leadership and mentorship to junior data scientists. + **Innovation & Thought Leadership:** Stay abreast of the latest advancements in GenAI, LLMs, and agentic AI research. Proactively identify new opportunities and technologies that can enhance our capabilities and competitive advantage. + **Ethical AI:** Ensure the responsible and ethical development and deployment of AI systems, addressing potential biases, fairness, and transparency concerns. **_Qualifications_** + 8-12 years of experience as a Data Scientist or Machine Learning Engineer, with a significant focus on deep learning and natural language processing, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + Proven hands-on experience with Generative AI models (e.g., Transformers, GANs, VAEs, Diffusion Models) and their applications. + Extensive experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, RAG (Retrieval Augmented Generation), and understanding various architectures (e.g., GPT, Llama, BERT, T5). + Demonstrated experience in designing, building, and deploying agentic systems or multi-agent systems, including concepts like planning, reasoning, and tool use. + Strong experience working with unstructured data, particularly in the oncology domain (e.g., clinical notes, pathology reports, genomic data, imaging reports), and extracting meaningful features for analysis. + Demonstrated ability to create and deploy predictive capabilities and models from complex datasets, including those with unstructured components. + Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. + Experience with relevant libraries and tools (e.g., Hugging Face Transformers, LangChain, LlamaIndex). + Strong understanding of machine learning fundamentals, statistical modeling, and experimental design. + Experience with at least one cloud platforms ( GCP, Azure) for training and deploying large-scale AI models. + Excellent problem-solving skills, with the ability to tackle complex, ambiguous problems and drive solutions. + Strong communication and presentation skills, capable of explaining comp + Experience in the healthcare or life sciences industry, specifically with oncology data and research, highly preferred + Experience with MLOps practices for deploying and managing large-scale AI models, highly preferred + Familiarity with distributed computing frameworks (e.g., Spark, Dask), highly preferred + Experience contributing to open-source AI projects, highly preferred **_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 + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 02/15/2026 *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 _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 (***************************************************************************************************************************

**A Day in the Life:** The IBM Sterling Senior MFT Engineer will have expertise in Sterling B2B Integrator, Sterling File Gateway, Sterling Secure Proxy, Control Center. This position requires an expert level knowledge of these technologies. You'll provide third-level support for core hardware, software, data and infrastructure components within the B2B integration team. The software focus areas will include software infrastructure components, continuous improvement and automation related to middleware and enterprise data movement within a mission-critical, multi-site enterprise environment. The ideal candidate will have a passion for technology; possess the ability to create change and be the facilitator for this transformation. They will have experience tailoring software design, developing, and implementing of solutions in support of data quality and automation. They will need to understand the requirements of a project, test the performance of the infrastructure, and verify that the requirements have been successfully met. We expect the starting salary to be around $135k but will be commensurate with experience. **What You'll Do:** TECHNICAL SENIORSHIP + Communication with internal and external business users on Sterling Integrator mappings + Making changes to existing partner integrations to meet internal and external requirements + Design, develop and implement solutions based on standards and processes that establish consistency across the enterprise data, reduce risks, and promote efficiencies in support of the organizational goals and objectives. + Diagnose and troubleshoot complex issues, restore services and perform root cause analysis. + Facilitate the review, vetting of these designs with the architecture governance bodies, as required. + Be aware of all aspects of security related to the Sterling environment and integrations INNOVATIVE INFRASTRUCTURE & PROBLEM SOLVING + Strive to engineering excellence by simplifying, optimizing, and automating processes and workflows. TEAMWORK & COMMUNICATION + Superior & demonstrated team building & development skills to harness powerful teams + Ability to communicate effectively with different levels of Seniorship within the organization + Provide timely updates so that progress against each individual incident can be updated as required + Write and review high quality technical documentation CONTROL & AUDIT + Ensures their workstation and all processes and procedures, follow organization standards CONTINUOUS IMPROVEMENT + Encourages and maintains a 'Best practice sharing culture', always striving to find ways to improve service and change mind set. **What We're Looking For:** + Bachelor's degree in Engineering, Statistics, Computer Science or other quantitative fields, required + 5+ years of IT experience + 4+ years' experience working with Sterling B2B Integrator, Sterling File Gateway, PCM (preferred) + 3+ years' experience with scripting to enable automation of standard activities (example: Ansible, Python, Bash, Java) + Strong interpersonal and communication skills with Agile/Scrum experience. + Strong problem solving and critical thinking skills with a proven record for identifying and diagnosing problems, and solving complex problems with simple, logical solutions with the ability to develop custom setups. + Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate technical and non-technical issues and concepts to multiple organization levels. + Prefer Travel, transportation, or hospitality experience + Prefer experience with designing application data models for mobile or web applications + Excellent written and verbal communication skills. + Flexibility in scheduling which may include nights, weekends, and holidays **What You'll Get:** + Up to 40% off the base rate of any standard Hertz Rental + Paid Time Off + Medical, Dental & Vision plan options + Retirement programs, including 401(k) employer matching + Paid Parental Leave & Adoption Assistance + Employee Assistance Program for employees & family + Educational Reimbursement & Discounts + Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness + Perks & Discounts -Theme Park Tickets, Gym Discounts & more The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world. **US EEO STATEMENT** At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company. Individuals are encouraged to apply for positions because of the characteristics that make them unique. EOE, including disability/veteran

Click on "Learn more about this agency" button below for IMPORTANT additional information. This is a Direct Hire Solicitation. This public notice is to gather applications that may or may not result in a referral or selection. Click on "Learn more about this agency" button below for IMPORTANT additional information. This is a Direct Hire Solicitation. This public notice is to gather applications that may or may not result in a referral or selection. Overview Help Accepting applications Open & closing dates 12/22/2025 to 12/21/2026 Salary $63,795 to - $164,301 per year Pay scale & grade GS 11 - 15 Locations FEW vacancies in the following locations: Eielson AFB, AK Elmendorf AFB, AK Fort Richardson, AK Maxwell AFB, AL Show morefewer locations (79) Little Rock AFB, AR Davis Monthan AFB, AZ Luke AFB, AZ Beale AFB, CA Edwards AFB, CA El Segundo, CA Los Angeles, CA March AFB, CA Travis AFB, CA Vandenberg AFB, CA Air Force Academy, CO Buckley AFB, CO Cheyenne Mountain AFB, CO Colorado Springs, CO Peterson AFB, CO Schriever AFB, CO Joint Base Anacostia-Bolling, DC Dover AFB, DE Cape Canaveral, FL Cape Canaveral AFS, FL Eglin AFB, FL Homestead AFB, FL Hurlburt Field, FL MacDill AFB, FL Patrick AFB, FL Tyndall AFB, FL Dobbins AFB, GA Moody AFB, GA Robins AFB, GA Hickam AFB, HI Mountain Home AFB, ID Scott AFB, IL Grissom AFB, IN Barksdale AFB, LA Hanscom AFB, MA Westover Air Reserve Base, MA Andrews AFB, MD Linthicum Heights, MD Selfridge ANG Base, MI Whiteman AFB, MO Columbus AFB, MS Keesler AFB, MS Malmstrom AFB, MT Grand Forks, ND Minot AFB, ND Offutt AFB, NE New Boston, NH McGuire AFB, NJ Cannon AFB, NM Holloman AFB, NM Kirtland AFB, NM Nellis AFB, NV Niagara Falls, NY Wright-Patterson AFB, OH Youngstown, OH Youngstown, OH Altus AFB, OK Tinker AFB, OK Vance AFB, OK Charleston, SC Shaw AFB, SC Arnold AFB, TN Dyess AFB, TX Fort Sam Houston, TX Goodfellow AFB, TX Kelly AFB, TX Lackland AFB, TX Laughlin AFB, TX Randolph AFB, TX Hill AFB, UT Alexandria, VA Arlington, VA Dahlgren, VA Fort Eustis, VA Langley AFB, VA Pentagon, Arlington, VA Fairchild AFB, WA McChord AFB, WA Warren AFB, WY Remote job No Telework eligible No Travel Required Occasional travel - You may be expected to travel for this position. Relocation expenses reimbursed No Appointment type Multiple Work schedule Full-time Service Competitive Promotion potential 15 Job family (Series) * 1520 Mathematics Supervisory status No Security clearance Secret Drug test No Position sensitivity and risk Noncritical-Sensitive (NCS)/Moderate Risk Trust determination process * Suitability/Fitness Financial disclosure No Bargaining unit status No Announcement number AFPC-STEMDHA-12*********** Control number 852876400 This job is open to Help The public U.S. Citizens, Nationals or those who owe allegiance to the U.S. Clarification from the agency This public notice is to gather applications that may or may not result in a referral or selection. Duties Help * Duties and responsibilities vary and may increase according to grade level * Plan and carry out the collection and analysis of information, data and standards used by the assigned organization to perform mathematics tasks. * Carry out special projects designed to facilitate the full use of the interns training and development. * Keep abreast of emerging technologies and professional developments to maintain current in the field and for application to work assignments. * Perform scientific work in the field of mathematics in support of conventional projects, or portions of larger projects and programs under the guidance of a senior mathematician or scientist. Requirements Help Conditions of employment * Please read this Public Notice in its entirety prior to submitting your application for consideration. * U.S. Citizenship is required * Males must be registered for Selective Service, see *********** * Total salary varies depending on location of position * If authorized, PCS will be paid IAW JTR and AF Regulations. If receiving an authorized PCS, you may be subject to completing/signing a CONUS agreement. More information on PCS requirements, may be found at: ***************************************** * Recruitment incentives may be authorized * Position may be subject to random drug testing * Employee may be required to work other than normal duty hours, to include evenings, weekends and/or holidays * Shift work and emergency overtime may be required * Employee must maintain current certifications * A security clearance may be required * Disclosure of Political Appointments is required Qualifications In order to qualify, you must meet the specialized experience requirements described in the Office of Personnel Management (OPM) Qualification Standards for General Schedule Positions, Group Coverage Qualification Standard for Professional and Scientific Positions. BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT: Degree: mathematics; or the equivalent of a major that included at least 24 semester hours in mathematics. OR Combination of education and experience - courses equivalent to a major in mathematics (including at least 24 semester hours in mathematics), as shown in A above, plus appropriate experience or additional education. SPECIALIZED EXPERIENCE: In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below. GS-11: One year of specialized experience (equivalent to GS-09) experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. Your experience includes performing full range of activities required for the scientific area under study and utilizing an intense application of specialized methods and techniques of the required field of mathematics; gathering, analyzing and processing of data and information to support work efforts. GS-12: One year of specialized experience (equivalent to GS-11) experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. Your experience includes directing, coordinating and reviewing work of the other members of the team; planning, organizing and conducting the operational and performance tests and technical evaluation of test results. GS-13: One year of specialized experience (equivalent to GS-12) experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. Your experience includes advising and providing technical assistance to scientific, engineering, mathematical and managerial personnel on the mathematical aspects of range safety work; reviewing scientific and mathematical studies and papers and convert results into practical recommendations and procedures. GS-14: One year of specialized experience (equivalent to GS-13) experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. Your experience includes formulating, conducting, organizing and directing highly creative and independent research programs; defining and selecting basic problems for investigation based on needed improvements to the state of the art in mathematical modeling; providing contractual technical direction to programs of considerable scope and complexity, with nominal, broad oversight. GS-15: One year of specialized experience (equivalent to GS-14) experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. Your experience includes providing operational and scientific expertise to explore basic research initiatives for a new generation; overseeing policy development, plans, and operations in critical research initiatives and advanced technologies for future precision capabilities on a continuing or project basis; identifying and recommending critical research initiatives and establishes goals toward future precision capabilities. KNOWLEDGE, SKILLS AND ABILITIES (KSAs): * Knowledge of mathematics policies, theories, principles and concepts and familiarity with other scientific and engineering disciplines to carry out conventional scientific processes. * Knowledge of mathematics and related disciplines to design, develop and adapt scientific methods and techniques. * Knowledge of analytical techniques to develop, stimulate, and analyze data. * Ability to communicate effectively both orally and in writing. * Knowledge of computer operations and standard software applications. PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week. VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. Education IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience; transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation. FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Additional information For Direct Hire (DHA) Positions: This is a Direct Hire Public Notice, under this recruitment procedure applications will be accepted for each location/ installation identified in this Public Notice and selections are made for vacancies as they occur. There may or may not be actual/projected vacancies at the time you submit your application. Interagency Career Transition Assistance Program (ICTAP): For information on

Kforce has a client in Merrimack, NH that is seeking a Data Engineer. Responsibilities: * Deliver high quality, innovative and maintainable software solutions in an agile environment * Actively contribute to test automation and practices * Demonstrate strong leadership, communication, and presentation skills * Experience working with distributed teams * Understanding of fundamental data design principles and application design * Strong troubleshooting and problem-solving skills * Ability to quickly learn, adapt and thrive to meet the needs of a fast paced, changing environment * Performing application maintenance and ensure information security controls * Provide timely status updates, issue resolutions, and step-by-step instructions on usability questions * Collaborate with Product, Execution, and other support teams to resolve or escalate user inquiries * Based on support queue trends, make recommendations for innovation and automation to reduce volume* B.S. in Computer Science, Management Information Systems, or equivalent experience * 6+ years of IT experience * Strong programming skills in SQL/Python/java * Solid understanding of relational databases (PostgreSQL, SQL/Oracle) * Experience in data pipelines ETL/ELT tools, control-M * Experience with Enterprise Data Lake e.g. Snowflake * Experience with GitHub * Good experience in Agile/Scrum methodologies * Experience of Cloud technologies and automated deployments * Ability to communicate software engineering and/or development concepts and principles * Ability to take up new challenges and explore new technology/tools * Can collaborate well with the business, your team members, work independently, and influence your technology peers * Proficient in ability to identify and pull data from various applications and systems (e.g., Salesforce, Oracle, SQL Server) * Experience in performing complex data analysis and data aggregation * Troubleshooting and debugging skills * Strong analytical and logical skills * Ability to analyze trends and recommend improvements

If you are passionate about data engineering and want an opportunity to work with the latest technologies, then Modeling Data Solutions has the position for you. Modeling Data Solutions is seeking an experienced data analytics engineer to join its personal lines property team. This is an exciting opportunity to join the US Data Science Infrastructure department helping to support creating cutting edge pricing programs. You will play a critical role in designing and developing the data solutions needed for research and development as well as providing front line data support in launching new products into market. You will collaborate with multiple stakeholders including data scientists and product analysts to gather requirements, design, and implement robust data solutions. This is a ranged posting, level offered will be based on skills and experience at manager discretion. This role may have in-office requirements depending on candidate location. Responsibilities * Design, develop, and optimize data pipelines and ETL processes to ensure high-quality data is available for analysis. * Analyze complex datasets to identify trends, patterns, and actionable insights that drive business performance. * Implement data quality checks and governance best practices to ensure data accuracy and reliability. * Utilize python, Spark, and SQL queries to extract, transform, and analyze data from various sources. * Work closely with cross-functional teams to understand their analytical needs and provide tailored solutions that meet business objectives. * Stay current with industry trends, emerging tools, and best practices in data analytics and engineering to continuously enhance analytical capabilities. Qualifications * Strong written and oral communication skills required * Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred * Master`s in same or related disciplines strongly preferred * 3-5 years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in Python, SQL, ETL, Spark, Snowflake. About Us 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. At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve. 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

We are seeking a motivated Data Engineer to join our Data Engineering team. The ideal candidate will have exposure in Python, and SQL, and will be responsible for designing, developing, and maintaining robust data pipelines for structured, semi-structured, and unstructured data. This role is ideal for someone passionate about building scalable data solutions and enabling advanced analytics across the organization. **Key Responsibilities** + Design, develop, and optimize data pipelines using Python, Spark, and SQL. + Ingest, process, and analyze structured (e.g., relational databases), semi-structured (e.g., JSON, XML), and unstructured data (e.g., text, logs, images) from diverse sources. + Implement data quality checks, validation, and transformation logic to ensure data integrity and reliability. + Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions. + Develop and maintain data models, data dictionaries, and technical documentation. + Monitor, troubleshoot, and optimize data workflows for performance and scalability. + Ensure compliance with data governance, security, and privacy policies. + Support data migration, integration, and modernization initiatives, including cloud-based solutions (AWS, Azure, GCP). + Automate repetitive data engineering tasks and contribute to continuous improvement of data infrastructure. + Knowledge of any of the cloud platforms (AWS, Azure, GCP). + Understanding of data security, encryption, and compliance best practices. **Required Skills & Qualifications** + Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field + Good programming skills in Python and SQL + Good problem-solving, analytical, and communication skills + Ability to work collaboratively in a fast-paced environment + Familiarity with data orchestration tools (e.g., Airflow, Prefect) + Exposure to data lake and data warehouse architectures (e.g., Snowflake, Databricks, Big query etc.) + Knowledge of containerization and CI/CD pipelines (e.g., Docker, Kubernetes, GitHub) + Familiarity with data visualization tools + Basic understanding of ETL/ELT concepts, data modeling, and data architecture **Location** New hires will be hired at the Cognizant office in **Plano, TX or Teaneck, NJ,** where you will work alongside other experienced Cognizant associates delivering technology solutions. Applicants must be willing to relocate to this major geographic area. While we attempt to honor candidate location preferences, business needs and position availability will determine final location assignment. **Start Date** New hires will start in **January or February 2026** . While we will attempt to honor candidate start date preferences, business need and position availability will determine final start date assignment. Exact start date will be communicated with enough time for you to plan effectively. **Salary and Other Compensation:** Applications are accepted on an ongoing basis. The annual salary for this position is $65,000.00 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans. **Why Choose Us?** Cognizant delivers solutions that draw upon the full power and scale of our associates. You will be supported by high-caliber experts and employ some of the most advanced and patented capabilities. Our associate's diverse backgrounds offer multifaceted perspectives and fuel new ways of thinking. We encourage lively discussions which inspire better results for our clients. **Benefits** Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: + Medical/Dental/Vision/Life Insurance + Paid holidays plus Paid Time Off + 401(k) plan and contributions + Long-term/Short-term Disability + Paid Parental Leave + Employee Stock Purchase Plan **Disclaimer** The hourly rate, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. **Work Authorization** Due to the nature of this position, Cognizant cannot provide sponsorship for U.S. work authorization (including participation in a CPT/OPT program) for this role. _Cognizant is always looking for top talent. We are searching for candidates to fill future needs within the business. This job posting represents potential future employment opportunities with Cognizant. Although the position is not currently available, we want to provide you with the opportunity to express your interest in future employment opportunities with Cognizant. If a job opportunity that you may be qualified for becomes available in the future, we will notify you. At that time you can determine whether you would like to apply for the specific open position. Thank you for your interest in Cognizant career opportunities._ Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

**Category:** Software Development/ Engineering **Alternate Location(s):** United States, New Hampshire, Portsmouth ** J0825-0493 **Employment Type:** Full Time U.S. - The best version of me (***************************** By playing this video you consent to Google/YouTube processing your data and using cookies -Learn more (xweb.asp?clid=21001&page=cookiespolicy#integrationofyoutube) . **Position Description:** We are seeking a motivated Data Engineer to support the modernization of our our clients' insurance agency and policy admin data platforms. This role offers the opportunity to work with cloud technologies (AWS or Azure), build scalable data pipelines, and integrate key systems such as Applied Epic, Ivans, EzLynx, AL3 data integration, Guidewire, and Salesforce FSC. In this role you will contribute to real-time analytics, predictive modeling, and customer insights, while collaborating with cross-functional teams to deliver high-impact data solutions This is a Full Time Employment opportunity, based in Indianapolis, IN. And Portsmouth, NH. **Your future duties and responsibilities:** - Participate in the transition from legacy systems to modern cloud-based data platforms (e.g., AWS, Azure). - Migrate key insurance data (policy) from Applied Epic and Guidewire into unified data warehouses/lakes for advanced analytics. - Architect Insurance Data Ecosystem - Design scalable data architectures that support future-state personal lines insurance workflows, omnichannel engagement, and predictive analytics. - Integrate Applied Epic, Guidewire, and Salesforce FSC data for 360° customer and policyholder insights. - Prepare structured datasets for actuarial modeling, underwriting automation, and customer segmentation using ML and AI tools. - Collaborate with data scientists to deploy models into production environments and monitor model performance over time. - Build real-time and event-driven data pipelines to support dynamic pricing, and customer notifications. - Leverage tools like Kafka, AWS Kinesis, or Pub/Sub for real-time processing across policyholder journeys. - Implement automated data cataloging, lineage tracking, and access controls aligned with NAIC, GDPR, and CCPA requirements. - Use metadata management and data observability tools to ensure future scalability, trust, and transparency. - Enable APIs and data layers to support partnerships and embedded insurance models. - Collaborate with third-party Insurtech platforms, MGAs, and distribution partners through secure data integrations. - Develop reusable, curated datasets and data marts that empower underwriters, and business analysts. - Create training content and documentation to promote self-service data usage across business units. - Integrate Salesforce FSC with internal insurance systems to deliver hyper-personalized customer communications and retention strategies. - Build data layers that power cross-sell/up-sell recommendations and lifecycle marketing based on claims or policy behavior. - Adopt agile methodologies for iterative data delivery and implement CI/CD pipelines for data deployments. - Participate in automation in testing, monitoring, and documentation of data products and pipelines. **Required qualifications to be successful in this role:** - 3-5 years of professional experience as a Data Engineer, preferably in the insurance or financial services industry. - Strong domain knowledge of Personal Lines Insurance (Auto, Homeowners, Renters, etc.), including policy lifecycle, Renewal, billing, and underwriting. - Hands-on experience working with Applied Epic and Guidewire (Policy Center, Billing Center, or Claim Center). - Familiarity with Salesforce Financial Services Cloud (FSC) or core Salesforce CRM data models (nice to have but preferred). - Understanding Insurance data structures, workflows, and APIs specific to insurance operations and customer engagement. - Proficient in SQL and one or more programming languages like Python, Scala, or Java for data transformation and scripting. - Experience building ETL/ELT pipelines using tools such as dbt, Talend, Informatica, or custom frameworks. - Working knowledge of cloud-based data platforms (e.g., AWS Glue/Redshift, Azure Data Factory/Synapse, GCP BigQuery). - Exposure to streaming and event-driven architecture (e.g., Kafka, Kinesis, Spark Streaming) is a plus. - Ability to design and implement insurance data models across policy, claims, customer, and finance domains. - Experience with dimensional modeling, normalization/denormalization, and building data marts for reporting/analytics. - Knowledge of data governance best practices including data quality, lineage, access control, and metadata management. - Familiarity with regulatory and compliance frameworks (e.g., GDPR, CCPA, HIPAA, NAIC standards). - Experience enabling BI tools such as Power BI, Tableau, or Looker by delivering clean, high-quality data sets. - Ability to collaborate with analytics and reporting teams to support KPIs and business insights. - Strong communication skills to collaborate with business stakeholders, product owners, and cross-functional IT teams. - Ability to work in agile development environments and participate in sprint planning, retrospectives, and stand-ups. \#LI-TSCH1 \#DICE Other Information: CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $62,900.00 - $121,100.00. CGI's benefits are offered to eligible professionals on their first day of employment to include: - Competitive compensation - Comprehensive insurance options - Matching contributions through the 401(k) plan and the share purchase plan - Paid time off for vacation, holidays, and sick time - Paid parental leave -Learning opportunities and tuition assistance - Wellness and Well-being programs **Skills:** + Data Engineering + ETL + Personal Lines Insurance + Service Cloud + SQL **What you can expect from us:** **Together, as owners, let's turn meaningful insights into action.** Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because... You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world. Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business. CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_****************** . You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. **Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned.** We make it easy to translate military experience and skills! Clickhere (*************************** to be directed to our site that is dedicated to veterans and transitioning service members. All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances. CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI's legal duty to furnish information.

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_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 + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 11/05/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************