We are hiring a Data Scientist to join the Quality Analytics team within Global Data Insight and Analytics (GDI&A). This role focuses on delivering end‑to‑end machine learning and AI solutions that improve product quality, reliability, and customer outcomes. The ideal candidate has hands‑on experience applying machine learning, LLMs, and graph‑based approaches in production‑oriented environments.

Role Description The Senior Data Scientist, Diagnostics Platform supports the Diagnostics Platform by contributing to the strategy, development, and operationalization of large language models (LLMs), agentic AI, and image AI solutions. In this role, you will help build multimodal datasets, develop production-grade models, contribute to RAG pipelines and agent workflows, and integrate insights into products, clinical, regulatory, and post-market evidence programs. The role works cross-functionally with clinical, R&D, regulatory/quality, medical affairs, IT/security, and Operating Companies to deliver measurable patients and business impact. This position reports to the Director, Data Science and is part of the Diagnostics Platform and will be fully remote. In this role, you will have the opportunity to: - Lead assay development optimization and R&D process acceleration using advanced statistical and ML methods (e.g. Bayesian optimization). - Conduct RWE analytics of EHR/claims/registries/device telemetry to drive biomarker discovery and development, and support dataset curation across text, tabular, device logs, lab results, and EHR/claims. - Implement reliable and reproducible AI frameworks that improve diagnostic performance analytics, workflow efficiency, labeling/claims support, HEOR/RWE insights, image processing, and customer experience. - Contribute to the development of solutions on Azure, Snowflake/Databricks, vector databases, and enterprise content platforms (SharePoint, Confluence). - Translate analyses into clear, concise narratives, dashboards, and cross‑functional updates, and collaborate with clinical, regulatory, R&D, IT, and academic partners as needed. Qualifications - Master’s or PhD in Biomedical Engineering, Biostatistics, Bioinformatics, Computer Science, Data Science, or related fields. - 3+ years of combined industry and/or postdoctoral research experience in MedTech, diagnostics, biopharma, or applied AI domains. - Hands-on proficiency in Python/R and modern ML frameworks; familiarity with DoE (design of experiments), Bayesian optimization, causal, survival, and longitudinal methods. - Experience working with RWE/RWD datasets (EHR, claims, registries, device logs). Requirements - Ability to travel – 10% Benefits - Comprehensive package of benefits including paid time off, medical/dental/vision insurance, and 401(k) to eligible employees. - Remote work arrangement eligible for this position. - Annual salary range for this role is $150,000 to $170,000. - This job is also eligible for bonus/incentive pay.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As the Lead Data Science, you will be responsible for the strategy, execution, and adoption of data-driven solutions to support and optimize marketing decisions for the Onboarding, Loyalty, or Retention marketing teams. You will be a highly visible and impactful resource and will oversee the analytics team's efforts to provide data science and analytical solutions with the objective of optimizing performance across digital and non-digital channels. This position requires you to have an in-depth understanding of lifecycle customer marketing analytics, including test design, sample sizing, and statistical significance measurement. - Partner with marketing teams to identify and size marketing opportunities, identify dependencies (i.e., data, timing, regulatory, media, etc.) and make recommendations for marketing approaches to support business goals. - Responsible for valid test design, appropriate sample sizing and setup to ensure results are statistically significant and insights are generated utilizing A/B or multivariate testing methods. - Responsible for post-campaign analysis, including media performance (both actuals and to goal), consumer/audience performance and trends, consumer profiles, patient appointment analysis and trends, omni-channel analysis (online to offline, offline to online, optimal pathway, etc.). - Responsible for defining and executing on the marketing analytics roadmap. - Responsible for identifying the opportunity for advanced analytics (i.e., predictive models for targeting, segmentation solutions, cross-sell models, etc.) and working with analytics partners to develop the solution. Qualifications - Bachelor's degree or higher in an analytical discipline such as statistics, mathematics, engineering, or related field - 5+ years of experience in multiple marketing strategies such as omni-channel marketing measurement, targeting, attribution, forecasting, and experimental test design - Proficiency in statistical analysis tools and programming languages (e.g., Python, R, SQL) - 7+ years of analytics in a fast-paced environment - Experience with managing multiple projects and deadlines across teams in a large, highly matrixed company - Experience in managing change by leading and energizing others, modeling adaptability, and inspiring strong organizational performance through periods of transformation, ambiguity, and complexity - Excellent oral and written communications skills, including the polish, poise, and executive presence that will ensure effective interaction with senior and executive level audiences - Highly collaborative mindset and excellent relationship-building skills, including the ability to engage many diverse stakeholders and SMEs and win their co-ownership in the outcome - Experience gathering requirements for BI/reporting automation - May require travel up to twice a year Preferred Qualifications - Master's degree in economics or mathematics Benefits - Health benefits effective day 1 - Paid time off, holidays, volunteer time and jury duty pay - Recognition pay - 401(k) retirement savings plan with employer match - Tuition assistance - Scholarships for eligible dependents - Parental and caregiver leave - Employee charity matching program - Network Resource Groups (NRGs) - Career development opportunities Application Process As part of our hiring process for this opportunity, we may contact you via text message and email to gather more information using a software platform called HireVue. HireVue Text, Scheduling and Video technologies allow you to interact with us at the time and location most convenient for you. If you are selected to move forward from your application prescreen, you may receive correspondence inviting you to participate in a pre-recorded Voice, Text Messaging and/or Video interview. Your recorded interview will be reviewed and you will subsequently be informed if you will be moving forward to the next round of interviews. If you have additional questions regarding this role posting and are an Internal Candidate, please send them to the Ask A Recruiter persona by visiting go/Buzz and searching Ask A Recruiter! Please be sure to provide the requisition number so we may be able to research your request quicker. Travel While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. $142,300 - $195,700 per year This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. Description of Benefits Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. - Medical, dental and vision benefits - 401(k) retirement savings plan - Time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave) - Short-term and long-term disability - Life insurance - Many other opportunities Equal Opportunity Employer It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves participating in an 11-week summer internship experience with an emphasis on hands-on learning and real-world immersion into our business. - Collaborate with our data science team and business leads to pursue research in areas of high business impact. - Drive CSAA’s knowledge of our customers through research projects from data collection to model development. - Provide recommendations based on well-documented, reproducible analysis from large datasets. - Work on a capstone project throughout the summer related to data analysis within the insurance industry and present findings to senior management. Qualifications - Current undergraduate/graduate student pursuing a quantitative or analytically focused degree, ideally graduating December 2026 or later. - Interested in beginning a career with a focus on data or statistical analysis. - Familiar with manipulating raw data with Python or R. - Creative problem solver with a strong interest in machine learning. - High-energy, high-impact individual who can provide statistical insights with data. - Self-motivated and results-oriented professional with strong written or verbal communication skills. - Able to influence and effectively manage multiple projects while communicating effectively in front of others. - Enthusiastic to learn new concepts and committed to self-development. - Has a keen analytical mind with a sharp eye for details. - Must have authorization to work indefinitely in the US. Requirements - The anticipated dates of our 2026 summer internship will be May 26-August 7. - This role is remote. - The anticipated hourly rate for this role is $33.00-36.00. Benefits - Professional development and job-specific training. - Networking opportunities to gain a deep understanding of their role and department. - Intern Innovation Challenge, executive meet and greets, community service opportunities, and social bonding activities.