Senior data scientist jobs in Manchester, CT

***************** 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.

Sr Data Scientist - GD07AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. The Hartford seeks a Senior Data Scientist Employee Benefits Data Science, AI, and Analytics (DSAIA) to develop machine learning and generative artificial intelligence solutions across a range of strategic initiatives.The Employee Benefits DSAIA team is a rapidly growing team focused on providing deep insight, automation, and augmentation across the policy lifecycle for Employee Benefits customers and internal business stakeholders. The EB DSAIA team supports a portfolio across the EB lifecycle, from sales and underwriting to policy installation, renewal, and everything in between. In addition to our existing portfolio of Predictive AI assets, the team is scaling to expand an end-to-end (E2E), AI-driven reimagination of the EB underwriting and service organizations. Our E2E projects will include integrated, interactive solutions with a toolkit including generative AI, natural language processing, computer vision, and predictive machine learning techniques. We deliver value by partnering closely with enterprise enablement and other line of business data science teams to help build a consistent approach to architecture and practices across AI products while tailoring solutions to our customers' unique needs in accuracy, transparency, and scalability.As a Senior Data Scientist in the Employee Benefits DSAIA team, you will participate in the entire solution lifecycle. You'll partner with cross-functional business and technical partners to understand business strategies and design, develop, implement, and evolve modeling solutions. We use the latest generative models, machine learning methods, MLOps deployment methods, and Agile delivery frameworks to build innovative and efficient solutions that maximize business value. This cutting-edge and forward-focused organization presents the opportunity for collaboration, self-organization within the team, influencing decision-making, and visibility as we focus on continuous business value delivery.Responsibilities: Create and use statistical models, algorithms, and machine learning techniques to achieve financial objectives, solve business problems, and identify long term opportunities that improve the customer journey Collaborate and partner with business stakeholders in a way that supports and sustains a culture that treats analytics as a corporate asset Lead execution of generative AI, machine learning, and predictive modeling projects that focus on internal team collaboration with Data Scientists, Data Engineers, and Product Owners Support identifying and assessing the value of new analytical and generative techniques and solution patterns to ensure ongoing competitive advantage Contribute to successful implementation of strategies to achieve targeted business objectives Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources in your area of expertise Remain current on research techniques and become familiar with state-of-the-art tools in generative AI Provide economic, qualitative, and statistical support to ensure accuracy of characteristics and metrics being applied to business decisions Learn/bring best practices to guide the direction of our Data Science and Data Engineering workflows Qualifications: 5+ years of relevant industry experience recommended Master's or Ph.D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science, Computer Science, or a similar analytical field; or progress towards a relevant professional designation Proficiency in statistical modeling, inference, and building machine learning algorithms in Python Proficiency in SQL and navigating databases to extract relevant attributes Proficiency in Unix and Git Proficiency in the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation Experience in leveraging generative artificial intelligence (e.g. large language models, image generation, or multimodal generative models) including model selection and tuning, prompt engineering, and performance evaluation Experience building modeling solutions in cloud-native environments, such as SageMaker, a plus Able to communicate effectively with both technical and non-technical teams Able to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solution Experience with leading project execution and driving change to core business processes through the innovative use of quantitative techniques This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday). Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $110,720 - $166,080 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

The Senior Sports Data Scientist will serve as a technical leader in designing and implementing advanced predictive models and metrics that power ESPN's analytics products and storytelling. This role combines cutting-edge data science with sports domain expertise to create innovative solutions that enhance storytelling across television, digital, and emerging platforms. The ideal candidate will architect complex statistical models, leverage machine learning techniques to uncover new insights, and translate sophisticated analyses into compelling narratives that resonate with diverse audiences. This position blends hands-on technical excellence with leadership responsibilities, requiring someone who can deliver sophisticated analyses while managing projects, mentoring junior team members, and partnering with engineering, product, and content teams. Responsibilities: Design and implement advanced machine learning models and statistical algorithms to predict player and team performance, including pre-game and in-game predictions Apply modern techniques including deep learning, Bayesian methods, ensemble models, and reinforcement learning to solve complex sports analytics problems Leverage AI technologies to enhance analytics capabilities and create innovative solutions for sports player and team evaluation Collaborate with engineering teams to deploy models at scale, ensuring robust performance in production environments Transform complex statistical findings into clear, actionable insights that enhance storytelling across all ESPN platforms Partner with product and content teams to identify high-impact opportunities for analytics integration Mentor junior data scientists and establish best practices for code quality, model validation, and documentation Present findings to senior leadership and external stakeholders, adapting communication style for technical and non-technical audiences Stay current with academic research and industry trends in sports analytics, machine learning, and data science Contribute to the team's technical strategy and help evaluate emerging technologies and methodologies Qualifications: Minimum 5 years of experience in data science, machine learning, or quantitative analytics, with demonstrated expertise in sports analytics preferred Advanced proficiency in Python or R for statistical modeling and machine learning Expert-level SQL skills and experience with database systems Deep understanding of statistical methods including regression analysis, time series forecasting, Bayesian inference, and causal inference Proven track record of deploying machine learning models to production and monitoring their performance Experience with cloud platforms Experience with version control (Git) and software engineering best practices Strong communication skills with ability to explain complex technical concepts to diverse audiences Demonstrated passion for sports with working knowledge of major sports leagues, players, teams, and statistical trends Ability to work in a fast-paced environment with competing priorities and tight deadlines Full availability for this position, including occasional nights, weekends, and holidays during major sporting events Required Education: Bachelor's Degree in Statistics, Computer Science, Mathematics, Engineering, Economics, or related quantitative field, OR High School Diploma/Equivalent with Minimum 5 years of relevant data science experience demonstrating equivalent expertise Preferred Education: Advanced degree in Statistics, Machine Learning, Computer Science, Operations Research, or related quantitative field Additional Information: Schedule Flexibility: This role requires flexibility to work outside standard business hours ahead of and during major sporting events, playoffs, and breaking news situations. Occasional weekend and holiday work will be necessary to support live productions and time-sensitive analytics. #ESPNMedia Job Posting Segment: ESPN Digital, Social & Streaming Content Job Posting Primary Business: Stats & Information Group Primary Job Posting Category: Tech Data Analytics Employment Type: Full time Primary City, State, Region, Postal Code: Bristol, CT, USA Alternate City, State, Region, Postal Code: Date Posted: 2025-08-15

In this experienced data science role, you'll tackle a wide range of projects focused on closing health gaps for vulnerable populations, such as improving medication adherence, increasing preventative screenings, and supporting members with chronic conditions in a holistic way. Your day-to-day will involve exploratory data analysis, descriptive analytics, and advanced predictive modeling, as well as designing and measuring experiments like A/B tests. You'll collaborate closely with cross-functional teams, help identify and overcome project blockers, and may occasionally "quarterback" efforts to align stakeholders and move projects forward. Strong communication skills are essential, as you'll regularly interface with non-technical partners to clarify needs and translate business problems into actionable analytics. Flexibility and adaptability are key, as project scopes and analytic maturity can vary. Experience managing projects is a plus, but the primary focus is hands-on technical support for a busy, collaborative team. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements Must Haves Masters Degree within Computer or Data Science (or similar) Healthcare experience strongly preferred 6yrs+ (Masters) OR 2yrs+ (PhD) Data Scientist experience Experience leveraging cloud technologies for model creation, training, deployment, etc (GCP/Azure/AWS) Strong communication skills Proven ability to build regression models and advanced machine learning models (e.g., decision trees, predictive models, segmentation models). Experience designing and executing A/B tests, hypothesis testing, and experimental designs. Skilled in campaign program design, including statistical measurement and analysis. Capable of both building and deploying models; deployment experience is preferred but not strictly required (support available from Data Engineering team if needed). Strong understanding of statistical testing and measurement methodologies. Ability to work with various types of segmentation models. Comfortable collaborating with cross-functional teams, including data engineering and analytics. Plusses Expertise within GCP (they use BigQuery heavily on this team) Project Management experience/abilities

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 11. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 12. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 13. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 14. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 15. Masters or Ph.D. Degree in a quantitative field 16. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 17. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $206,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

**Who Are We?** Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. **Job Category** Data Science **Compensation Overview** The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. **Salary Range** $132,800.00 - $219,100.00 **Target Openings** 1 **What Is the Opportunity?** Travelers Data Scientists are taking the organization to the next level of intelligence by using advanced statistical techniques, machine learning algorithms, and AI. As a Data Scientist, you will work with business partners to identify opportunities for data analysis and experiments to solve key business challenges. You will help to design, build, and deliver predictive models of varying complexity, communicate insights, and tell the story using data. As a member of the Applied Research team, you will join a group of highly creative and capable data scientists delivering meaningful impact across several domains. By combining your business acumen with strong technical expertise, you will help stakeholders to solve new or emerging problems through ideation, experimentation, and prototyping. In addition, you will have opportunities to pursue foundational research in anticipation of future business needs. Through exploration of new data, new methods, or new technologies, you will play a key role in unlocking new insights and value for the organization. **What Will You Do?** + Assist in design and development of analytical solutions. + Share knowledge with the community through discussions, presentations, or peer reviews. + Begin to set and manage expectations with business partners for small projects, and with guidance, identify potential conflicts and build consensus. + Communicate analysis, insights, and results to manager, peers and business partners and with guidance, tailor communication to the audience. + Become a mentor or resource for less experienced analytic talent, onboard new employees and interns, and provide support for intern recruiting and talent assessment efforts. + Support various training and skill development initiatives + Perform other duties as assigned. **What Will Our Ideal Candidate Have?** + Master's in STEM related field or equivalent. + 3 years of related experience. + Strong working knowledge of modeling/ research/analytics or actuarial required. + Relevant statistical analysis work experience required. + Strong Knowledge of statistical techniques with the ability to read/revise/ review statistical software programs. + Ability to develop models and interpret model results. + Understanding of advanced statistics underlying data models. + Ability to apply emerging statistical procedures to work. + Strong knowledge in: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling. **What is a Must Have?** + Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus two years of experience or any suitable and equivalent combination of education and work experience. + Heavy concentration in mathematics, including statistics and programming, business intelligence/analytics, as well as data science tools and research using large data sets. + Additional verification of specific coursework will be required. **What Is in It for You?** + **Health Insurance** : Employees and their eligible family members - including spouses, domestic partners, and children - are eligible for coverage from the first day of employment. + **Retirement:** Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. + **Paid Time Off:** Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. + **Wellness Program:** The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. + **Volunteer Encouragement:** We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. **Employment Practices** Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email (*******************) so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit ******************************************************** .

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. Datavant is looking for an enthusiastic and meticulous Data Scientist to join our growing team, which builds machine learning models for use across Datavant in multiple verticals and for multiple customer types. As part of the Data Science team, you will play a crucial role in developing new product features and automating existing internal processes to drive innovation across Datavant. You will work with tens of millions of patients' worth of healthcare data to develop models, contributing to the entirety of the model development lifecycle from ideation and research to deployment and monitoring. You will collaborate with an experienced team of Data Scientists and Machine Learning Engineers along with application Engineers and Product Managers across the company to achieve Datavant's AI-enabled future. **You Will:** + Play a key role in the success of our products by developing models for NLP (and other) tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **What You Will Bring to the Table:** + Advanced degree in computer science, data science, statistics, or a related field, or equivalent work experience. + 4+ years of experience with data science and machine learning in an industry setting. + 4+ years experience with Python. + Experience designing and building NLP models for tasks such as classification, named-entity recognition, and dependency parsing. + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow. + Demonstrated ability to drive results in a team environment and contribute to team decision-making in the face of ambiguity. + 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. \#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: $136,000-$170,000 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 (**************************************** .

Sun Life U.S. is one of the largest providers of employee and government benefits, helping approximately 50 million Americans access the care and coverage they need. Through employers, industry partners and government programs, Sun Life U.S. offers a portfolio of benefits and services, including dental, vision, disability, absence management, life, supplemental health, medical stop-loss insurance, and healthcare navigation. We have more than 6,400 employees and associates in our partner dental practices and operate nationwide. Visit our website to discover how Sun Life is making life brighter for our customers, partners and communities. Job Description: Sun Life embraces a hybrid work model that balances in-office collaboration with the flexibility of virtual work. Internal candidates are not required to relocate near an office. The opportunity: The Data Scientist provides advanced analytics support within the Business Analytics function that applies the power of data with machine learning to improve business outcomes across the Health and Risk Solutions business. This team is expected to work closely with the other teams across the organization, including functional teams and the analytic agile squads supporting AI use cases within various business domains. This position reports to the Director of Advanced Analytics Transformation within the Health and Risk Solutions business. Responsibilities include helping to develop and monitor predictive model and AI solutions to support our pricing, underwriting and clinical review processes, as assigned. Additional responsibilities may include applying machine learning techniques to streamline and automate aspects of these processes and promoting a culture of data-driven risk-based decisions. How you will contribute: * Apply data science techniques to solve business problems across various analytical areas, including exploratory data analysis, feature engineering, predictive modeling, visualization * Develop, validate, and maintain high-quality, robust predictive models and AI solutions that meet business and technical requirements * Utilize multiple sources of data, including structured and unstructured data, along with variety of machine learning techniques to improve model performance and interpretability * Write clean, modular, and well-documented code that can be deployed and maintained in production * Interpret data and model outputs to generate clear actionable insights and recommendations that drives business decisions. What you will bring with you: * Ability to work with a diverse range of people * BS/MS in a statistical, mathematical, or technical field (e.g., computer science, actuarial science) * 2+ years of experience in developing and implementing data science techniques * Healthcare or health insurance experience preferred, particularly with experience in pricing, underwriting and clinical domains. Will consider candidates that have experience in other insurance product lines. * Demonstrated academic or industry experience with generative AI including prompt engineering, RAG workflows and integrating LLMs into business process * Familiarity with MLOps practices, including model deployment, monitoring, and lifecycle management * Strong knowledge of statistical and data science techniques, including machine learning, data visualization, A/B testing, and experience with databases * Proficiency in Python and SQL for data manipulation, modeling, and automation * Experience with machine learning framework and libraries * Ability to turn proof-of-concept model into production-ready code and reproducible workflows * Commitment to data compliance, model governance and security protocols * Strong business acumen to understand why and how the work we do will impact our business stakeholders * Strong problem-solving skills and effective communication, with an ability to explain technical concepts to a non-technical audience Salary: $84,900-$127,400 At our company, we are committed to pay transparency and equity. The salary range for this role is competitive nationwide, and we strive to ensure that compensation is fair and equitable. Your actual base salary will be determined based on your unique skills, qualifications, experience, education, and geographic location. In addition to your base salary, this position is eligible for a discretionary annual incentive award based on your individual performance as well as the overall performance of the business. We are dedicated to creating a work environment where everyone is rewarded for their contributions. Not ready to apply yet but want to stay in touch? Join our talent community to stay connected until the time is right for you! We are committed to fostering an inclusive environment where all employees feel they belong, are supported and empowered to thrive. We are dedicated to building teams with varied experiences, backgrounds, perspectives and ideas that benefit our colleagues, clients, and the communities where we operate. We encourage applications from qualified individuals from all backgrounds. Life is brighter when you work at Sun Life At Sun Life, we prioritize your well-being with comprehensive benefits, including generous vacation and sick time, market-leading paid family, parental and adoption leave, medical coverage, company paid life and AD&D insurance, disability programs and a partially paid sabbatical program. Plan for your future with our 401(k) employer match, stock purchase options and an employer-funded retirement account. Enjoy a flexible, inclusive and collaborative work environment that supports career growth. We're proud to be recognized in our communities as a top employer. Proudly Great Place to Work Certified in Canada and the U.S., we've also been recognized as a "Top 10" employer by the Boston Globe's "Top Places to Work" for two years in a row. Visit our website to learn more about our benefits and recognition within our communities. We will make reasonable accommodations to the known physical or mental limitations of otherwise-qualified individuals with disabilities or special disabled veterans, unless the accommodation would impose an undue hardship on the operation of our business. Please email ************************* to request an accommodation. For applicants residing in California, please read our employee California Privacy Policy and Notice. We do not require or administer lie detector tests as a condition of employment or continued employment. Sun Life will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including applicable fair chance ordinances. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job Category: Advanced Analytics Posting End Date: 04/12/2025

Job DescriptionSalary: MPS Baltic client OP Corporate Bank is part of OP Financial Group, the leading financial services group in Finland. OP Corporate Bank has been operating in Lithuania for 12 years, offers services to business customers and focuses on large companies. CurrentlyOP Corporate Bank is looking for aData Scientistto join their team in Vilnius. Do you have a passion for credit risk, data science, and automation? We invite you to make a deep dive into genuine banking expertise, managing credit risk, and solving substantial real-world financial challenges in a dynamic and forward-thinking environment. This opportunity allows you to grow as a credit risk expert by applying cutting-edge data science techniques, collaborating with top professionals in Lithuania and Finland, and contributing to innovative banking solutions. The Role: Improve existing and create new data-driven tools in DataBricks for efficiency and automation Contribute to the ongoing Azure cloud transformation in credit risk area Contribute to the optimization/automation of MLflow deployments Promoting best practices across department, contributing/organizing workshops Work with Python, Spark, SQL, and Git to manage and analyse data The Person: 2+ years of experience in data analysis, modelling, or machine learning Python & SQL proficiency Experience with Git Strong analytical & problem-solving skills Fluent Lithuanian and English (written & spoken) Credit risk and/or Azure Databricks experience is a bonus What is offered: Professional Growth: Work in a Scandinavian corporate culture that values learning and development Advanced Technology: Use Azure, Databricks, Python, and ML models in a cloud-based environment Impactful Work: Contribute to credit risk modelling, automation, and analytics that drive business decisions Collaboration: Work with top data professionals in Lithuania and Finland Competitive Package: Salary from 4500 gross, plus health insurance, lunch subsidies, event budget, parking, and more International Experience: Opportunity for business trips to Finland Should you feel that your skills and experience match the above we would be delighted to receive your application. To apply in the strictest confidentiality, please send your CV marked Data Scientist to executive search company MPS Baltic by email:*********. Only short-listed candidates will be contacted. Additional information provided on ph.: +************5, Ina Skiauterien. Check out more about OP Corporate Bank Lithuania branch on*********************

Tsunami Tsolutions is seeking a motivated Data Scientist to join its Aviation Analytics department. This person will be responsible for developing and deploying solutions to various customers that utilize a wide range of analytics tools. They will work with team members and customers to identify new sources of value and take actions to capture it. The selected individual will also work to ensure data quality and provide metrics as indicators of the current state. This role will also require the presentation of findings to customers and senior management. NOTE: This position requires access to technologies and hardware subject to US national Security based export control requirements. All applicants must be US Citizen (8 USC 1324b(a)(3)), or otherwise authorized by the U.S. Government. NO Company Sponsorship offered. Responsibilities: • Working with stakeholders to understand complex business processes and data streams. • Collaborate with stakeholders and whiteboard solutions. • Identify, collect and clean data from multiple sources • Validate, interpret and provide business insights • Research, build, implement and evaluate various analytic techniques to select the best application • Work with team members to deploy solutions across the organization • Reporting periodic progress on projects, including tracking usage and value derived from the models Position Requirements • B.S degree in computer science, data science or engineering. Advanced Degree Preferred • 3-5 years of industry experience preferred • Experience building dashboards and visualizations using Qlik, Power BI, Tableau or similar • Strong programming skills on languages used in data science including Python, R and SQL • Advanced proficiency in Microsoft Excel with competency in vlookups, pivot tables, etc. • Ability to learn new concepts quickly and translate them into practical applications • Ability to effectively communicate findings to non-technical audiences • Experience building and implementing machine learning models in Python or R a plus Offer contingent upon successful completion of a background check and drug screen.

**_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 (***************************************************************************************************************************

About Us Bexorg is revolutionizing drug discovery by restoring molecular activity in postmortem human brains. Through our BrainEx platform, we directly experiment on functionally preserved human brain tissue, creating enormous high-fidelity molecular datasets that fuel AI-driven breakthroughs in treating CNS diseases. We are looking for a Junior Data Scientist to join our team and dive into this one-of-a-kind data. In this onsite role, you will work at the intersection of computational biology and machine learning, helping analyze high-dimensional brain data and uncover patterns that could lead to the next generation of CNS therapeutics. This is an ideal opportunity for a recent graduate or early-career scientist to grow in a fast-paced, mission-driven environment. The Job Data Analysis & Exploration: Work with large-scale molecular datasets from our BrainEx experiments - including transcriptomic, proteomic, and metabolic data. Clean, transform, and explore these high-dimensional datasets to understand their structure and identify initial insights or anomalies. Collaborative Research Support: Collaborate closely with our life sciences, computational biology and deep learning teams to support ongoing research. You will help biologists interpret data results and assist machine learning researchers in preparing data for modeling, ensuring that domain knowledge and data science intersect effectively. Machine Learning Model Execution: Run and tune machine learning and deep learning models on real-world central nervous system (CNS) data. You'll help set up experiments, execute training routines (for example, using scikit-learn or PyTorch models), and evaluate model performance to extract meaningful patterns that could inform drug discovery. Statistical Insight Generation: Apply statistical analysis and visualization techniques to derive actionable insights from complex data. Whether it's identifying gene expression patterns or correlating molecular changes with experimental conditions, you will contribute to turning data into scientific discoveries. Reporting & Communication: Document your analysis workflows and results in clear reports or dashboards. Present findings to the team, highlighting key insights and recommendations. You will play a key role in translating data into stories that drive decision-making in our R&D efforts. Qualifications and Skills: Strong Python Proficiency: Expert coding skills in Python and deep familiarity with the standard data science stack. You have hands-on experience with NumPy, pandas, and Matplotlib for data manipulation and visualization; scikit-learn for machine learning; and preferably PyTorch (or similar frameworks like TensorFlow) for deep learning tasks. Educational Background: A Bachelor's or Master's degree in Data Science, Computer Science, Computational Biology, Bioinformatics, Statistics, or a related field. Equivalent practical project experience or internships in data science will also be considered. Machine Learning Knowledge: Solid understanding of machine learning fundamentals and algorithms. Experience developing or applying models to real or simulated datasets (through coursework or projects) is expected. Familiarity with high-dimensional data techniques or bioinformatics methods is a plus. Analytical & Problem-Solving Skills: Comfortable with statistics and data analysis techniques for finding signals in noisy data. Able to break down complex problems, experiment with solutions, and clearly interpret the results. Team Player: Excellent communication and collaboration skills. Willingness to learn from senior scientists and ability to contribute effectively in a multidisciplinary team that includes biologists, data engineers, and AI researchers. Motivation and Curiosity: Highly motivated, with an evident passion for data-driven discovery. You are excited by Bexorg's mission and eager to take on challenging tasks - whether it's mastering a new analysis method or digging into scientific literature - to push our research forward. Local to New Haven, CT preferred. No relocation offered for this position. Bexorg is an equal opportunity employer. We strive to create a supportive and inclusive workplace where contributions are valued and celebrated, and our employees thrive by being themselves and are inspired to do their best work. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities. Bexorg will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law.

We seek motivated individuals to join the Market Development team. Our job is to lead projects that integrate new technologies into competitive electricity markets and help facilitate the region's clean energy transition. We work as a team, within the department, the company, and the region, to assess, design, and implement real-world changes to improve the electric grid and electricity markets. As a Market Data Scientist, your primary responsibilities will involve transforming complex data into actionable insights. You will contribute to cross-functional projects that enhance market design, test proposed rules, and guide stakeholder discussions. Your teammates come from a variety of backgrounds - economists, engineers, data scientists, writers, business professionals and more. Collectively, we assign projects and project roles base on each person's expertise, passions, and goals. Candidates from all backgrounds are encouraged to apply. What we offer you: Hybrid work environment (3 days/week onsite) Relocation assistance Competitive compensation with a base salary + performance bonus Robust benefits package, including: Enhanced 401(k) and financial planning support Tuition reimbursement and professional development Wellness programs, including an onsite gym Free coffee at our onsite café Flexible work hours Employee Business Networks A stable, mission-driven workplace where your impact truly matters How you will make an Impact Develop and maintain statistical and machine learning models to assess market outcomes, simulate policy changes, and forecast trends. Design ETL processes to extract and analyze very large datasets from the ISO's operational systems using SQL, Python, SAS, or R, with efficient post-processing workflows to support high-volume reporting and strategic analysis. Produce reports and dashboards that clearly communicate trends, anomalies, and insights to both technical and business stakeholders. Collaborate in cross-functional project teams focused on shaping market rules, implementation strategy, and stakeholder engagement. What we are looking for Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Operations Research, Economics, Math, Finance, or a related technical field. Proficiency in Python and either R or SAS. Proficiency with SQL. Strong understanding of core statistical concepts such as regression, probability, and hypothesis testing. Desired not required Experience working in energy, electricity markets, or large-scale policy-driven data environments. Knowledge of GAMS or other optimization modeling tools. Familiarity with version control (e.g., Git) and collaborative coding workflows. Prior exposure to data visualization or dashboard tools (e.g., Plotly, Dash, R Shiny). Experience with neural networks, deep learning frameworks, or experimentation methods. This employer will not sponsor applicants for work visas for this position (ex: H-1B, F-1/CPT/OPT, O-1, E-3, TN, J, etc.). The expected salary range for this position is $82,000 - $113,000 per year. This role is also eligible for an annual performance bonus, comprehensive health insurance (medical, dental and vision), flexible spending and health savings accounts, a 401(k) plan with generous employer contributions and a student debt benefit, life and AD&D insurance, disability insurance, critical illness and hospital indemnity benefits, paid time off, paid leave, a wellness program, an employee assistance program and other great company perks. #LI-HYBRID

Job Title: Data Modeler / Architect Duration: 9 Months Responsibilities: Partner with our architecture, data development and application development teams to create relational and dimensional data structures for data management solutions. Develop and maintain various data subject area data models for Data Warehouse, Operational Data Store and Data Marts. Define relationships and touch points between data subject areas. Data mapping /Data Lineage mapping. Gap analysis. Analyze complex data structures Compose accurate and complete definitions for entities and attributes Perform source system analysis and data profiling Design and validate data solutions which are achieved through the application of industry proven architectural principles, standards and governance. Basic Qualifications: 5+ years of experience working as an Data Warehouse Data Modeler / Architect. Undergraduate degree in applicable area of expertise or equivalent work experience Experience in building complex, large scale logical data models with Erwin, E/R Studio, or another data modeling tool Experience in relational and dimensional schemas for Enterprise Data Warehouse Experience in data modeling (physical and logical), ER diagrams, data dictionary, data mapping Experience in Data Architecture and Database design Experience with database technologies (e.g. Oracle) Excellent analytical and communication skills Preferred Qualifications: Exposure with the below technologies and / or skills will be considered a plus: Oracle 11G, Data movement architectural patterns, and a thorough understanding of system development lifecycles. Experience in data modeling, data mapping, and data architecture is desirable. Required Education BS Additional Information Thanks & Regards' ________________________________________________________________________ ___ Vikram Bhalla | Team Recruitment | Mindlance, Inc. | W : ************ All your information will be kept confidential according to EEO guidelines.

As a Data Analytics Engineer at Corbin, you will play a pivotal role in bridging business needs and technical execution. You'll partner closely with client-facing teams, internal operations, and our systems architecture team to lead design, implement, and optimize data-driven solutions that reduce manual processes and enhance decision-making. This is a hands-on role focused on building and maintaining relational databases, engineering data pipelines, and enabling analytics through cloud data platforms. The ideal candidate will have a strong SQL foundation, exposure to cloud data platforms, and a working knowledge of capital markets. If you're eager to learn, solve complex problems, and contribute to scalable data systems, this role is for you! Core Responsibilities: Documentation: In partnership with the Business Analyst, translate business requirements into technical specifications, process maps, and data flow diagrams to guide solution design and implementation. Relational Database Management: Support the design and maintenance of relational databases in Snowflake, DOMO, or other tools Data Flows: Collaborate with the systems architect and business analyst to design and maintain secure, reliable data flows between cloud systems, leveraging APIs and automated processes. ETLS and Data Pipelines: Build, deploy, and manage ETL/ELT pipelines that ensure clean, structured, and reliable data for reporting and analytics. Data Visualization: Partner with functional teams to develop and maintain automated dashboards and reporting solutions to support business intelligence and client reporting. Collaboration: Work closely with cross-functional teams to create and implement solutions that support the organization's evolving data needs Data Analytics:. Interpreting datasets to uncover trends and insights Data Governance: Advocate, implement, and enforce best practices around data quality, security, and governance to ensure compliance and reliability across platforms. API Integration: Lead integration and development with additional tools to support business needs Requirements Strong analytical and critical thinking skills with the ability to translate business needs into technical solutions Initiative-taking, detail-oriented, and passionate about innovation and process improvement Hands-on experience with relational databases (preferably Snowflake) Proficiency in SQL, with the ability to design and optimize queries for performance Experience building ETL/ELT pipelines and automated reporting dashboards (DOMO, Tableau, or similar) Familiarity with RESTful APIs and data integration techniques Excellent communication and interpersonal skills, with the ability to engage both technical and non-technical stakeholders Ability to work in a fast-paced, dynamic environment and manage multiple projects effectively, comfort working in agile, cross-functional teams Cloud Data Platforms: Proficiency with cloud-based data warehouses and relevant tools. Business Acumen: Understanding how to align data solutions with business goals and providing actionable insight Qualifications Bachelor's degree in Computer Science or 3+ years relevant work experience Background in capital markets, financial services, or investor relations preferred but not required Experience with cloud data platforms (Snowflake, AWS, Azure, or GCP) is a plus Exposure to scripting languages (Python, JavaScript, etc.) for data transformation and automation is a plus

Company DescriptionJobs for Humanity is partnering with Capital One to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals. This position is open to candidates who reside in and have the legal right to work in the country where the job is located. Company Name: Capital One Job DescriptionLocations: VA - McLean, United States of America, McLean, VirginiaDistinguished Engineer - Data Architecture Come join my teams in the Enterprise Data & Machine Learning group to build a highly scalable, well governed, data ecosystem that scales across 1000's of AWS accounts, tens of thousands of database instances, and millions of files stored across enterprise. You will also have the opportunity to shape the future of the platform that exchanges terabytes of data daily between Capital One and partners. Distinguished Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and inner source solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelor's Degree At least 7 years of Data Architecture or Enterprise Architecture experience At least 5 years of experience in design patterns At least 5 years of AWS cloud experience At least 3 years of experience building data products At least 3 years of experience with enterprise level data governance Preferred Qualifications: Masters' Degree 8+ years of data governance, data access, data lineage, data monitoring, and security controls experience 7+ years of experience developing in Python, Java, Scala or Node 6+ years of experience dealing with large number of cross AWS account communications 5+ years of experience in software architecture 3+ years of rich experience in modern database technology evaluation and data modeling 3+ years of experience in building highly resilient distributed data systems 3+ years in data engineering including experience in distributed data pipelines and test data engineering 3+ years of experience in Agile practices 1+ year of experience with developing strategy and implementing target architectures AWS Solution Architect - Professional or AWS Certified Data Analytics - Specialty certified Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $269,400 - $307,500 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

We seek a skilled Senior Data Scientist in our Medicare Member Experience data science team. In this role, you will be responsible for developing and deploying machine learning (ML) models to assist in a variety of customer satisfaction initiatives. You will segment members, work with highly imbalanced datasets, and build predictive models that identify when and how we should contact our members. Your ML solutions will assist Aetna in maintaining its STARS ratings by identifying areas for improving member experience. You will collaborate with cross-functional teams to understand requirements, define objectives, and deliver insights on the cloud. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements - 3+ years industry experience in data science or machine learning - 3+ years experience with cloud computing platforms (e.g., Google Cloud Platform, Amazon Web Services, Azure) - Proficient in Python and object-oriented programming - Experience predicting outcomes in highly imbalanced datasets - Experience deploying machine learning (ML) models in a production environment - Experience navigating and querying production tables for features correlated with modeling outputs - Understanding of continuous evaluation of models in production using CI/CD patterns and awareness of tooling to support monitoring - Experience translating business requirements into actionable insights and ML solutions. - Good communication skills including the ability to explain technical concepts to non-technical audiences. - Bachelor's degree in data science, statistics, computer science or related field. - Ability to effectively lead data science projects from start to finish, mentor junior colleagues, and drive data science initiatives. - Experience with healthcare data, especially in the customer service domain - Experience with Google Cloud Platform tools (e.g., BigQuery, VertexAI, Composer) - Experience with parallelized applications for data science, such as Apache Spark and Apache Beam (DataProc, DataFlow) - Advanced degree in data science, statistics, computer science or related field.

**What Data Science contributes to Cardinal Health** The Data & Analytics Function oversees the analytics lifecycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytics products, 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. This role will support the Major Rugby business unit, a legacy supplier of multi-source, generic pharmaceuticals for over 60 years. Major Rugby provides over 1,000 high-quality, Rx, OTC and vitamin, mineral and supplement products to the acute, retail, government and consumer markets. This role will focus on leveraging advanced analytics, machine learning, and optimization techniques to solve complex challenges related to demand forecasting, inventory optimization, logistics efficiency and risk mitigation. Our goal is to uncover insights and drive meaningful deliverables to improve decision making and business outcomes. **Responsibilities:** + Leads the design, development, and deployment of advanced analytics and machine learning models to solve complex business problems + Collaborates cross-functionally with product, engineering, operations, and business teams to identify opportunities for data-driven decision-making + Translates business requirements into analytical solutions and delivers insights that drive strategic initiatives + Develops and maintains scalable data science solutions, ensuring reproducibility, performance, and maintainability + Evaluates and implements new tools, frameworks, and methodologies to enhance the data science toolkit + Drives experimentation and A/B testing strategies to optimize business outcomes + Mentors junior data scientists and contributes to the development of a high-performing analytics team + Ensures data quality, governance, and compliance with organizational and regulatory standards + Stays current with industry trends, emerging technologies, and best practices in data science and AI + Contributes to the development of internal knowledge bases, documentation, and training materials **Qualifications:** + 8-12 years of experience in data science, analytics, or a related field (preferred) + Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Engineering, Operations Research, Statistics, or a related discipline preferred + Strong programming skills in Python and SQL; + Proficiency in data visualization tools such as Tableau, or Looker, with a proven ability to translate complex data into clear, actionable business insights + Deep understanding of machine learning, statistical modeling, predictive analytics, and optimization techniques + Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable + Excellent communication and storytelling skills, with the ability to influence stakeholders and present findings to both technical and non-technical audiences + Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning and Natural Language processing (NLP). + Experience with PyTorch or other deep learning frameworks + Strong understanding of RESTful APIs and / or data streaming a big plus + Required experience of modern version control (GitHub, Bitbucket) + Hands-on experience with containerization (Docker, Kubernetes, etc.) + Experience with product discovery and design thinking + Experience with Gen AI + Experience with supply chain analytics is preferred **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:** 12/02/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

**Who Are We?** Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. **Job Category** Data Science **Compensation Overview** The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. **Salary Range** $161,400.00 - $266,300.00 **Target Openings** 1 **What Is the Opportunity?** As a Staff Data Scientist, you will build complex models that solve key business problems to support underwriting, risk control, and business operations. This may include the use of the most advanced technical tools in the data science practice, allowing you to develop sophisticated solutions that enhance risk segmentation, streamline decision-making processes, and drive operational excellence across these critical business functions. **What Will You Do?** + Lead business or technical projects focused on the design or development of analytical solutions. + Lead development of community best practices in AI/Machine Learning, statistical techniques, and coding. + Establish a practice/process of sharing expertise with the community through discussions, presentations, or peer reviews. + Begin to challenge conventional thinking where appropriate. + Anticipate potential objections and persuade peers, technical and business leaders to adopt a different point of view. + Guide technical strategy of teams through own technical expertise. + Set and manage expectations with business partners for multiple projects, generate ideas and build consensus, and be aware of potential conflicts. + Communicate analysis, insights, and results to team, peers, business partners. + Partner with cross-functional teams and leaders to support the successful execution of data science strategies. + Be a mentor or resource for less experienced analytic talent, onboard new employees and interns, and provide support for recruiting and talent assessment efforts. + Collaborate with Sr Staff Data Scientist on various training and skill development initiatives, including delivering training to the analytics community. + Perform other duties as assigned. **What Will Our Ideal Candidate Have?** + Subject matter expertise in modeling/ research/ analytics or actuarial required + Subject matter expertise in value creation and business model concepts + Subject matter expertise in multiple statistical software programs + Ability to develop highly complex models, interpret model results and recommend adjustments + Expertise in advanced statistics underlying data models + Ability to apply emerging statistical procedures to complex work + Subject matter expertise in 3-5 of the following: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling. **What is a Must Have?** + Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus five years of experience or any suitable and equivalent combination of education and work experience. + Heavy concentration in mathematics, including statistics and programming, business intelligence/analytics, as well as data science tools and research using large data sets. Additional verification of specific coursework will be required. **What Is in It for You?** + **Health Insurance** : Employees and their eligible family members - including spouses, domestic partners, and children - are eligible for coverage from the first day of employment. + **Retirement:** Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. + **Paid Time Off:** Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. + **Wellness Program:** The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. + **Volunteer Encouragement:** We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. **Employment Practices** Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email (*******************) so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit ******************************************************** .