Humana · 2 months ago
Senior Associate, Marketing Data Scientist, Model Perf & Orchestration
Humana Inc. is committed to putting health first and is seeking a Senior Associate, Marketing Data Scientist, Model Perf & Orchestration to play a strategic role in analyzing and interpreting data. The role involves leading analytical efforts to evaluate marketing performance and member behavior, while providing actionable insights to improve health outcomes.
Health CareHealth InsuranceInsuranceVenture Capital
Responsibilities
Design and execute complex analyses to evaluate marketing performance, member behavior, and health outcomes
Leverage dashboards and reporting tools to provide actionable insights to stakeholders
Collaborate with cross-functional teams to align analytics with strategic goals
Translate business questions into data-driven approaches and present findings to leadership
Ensure data integrity through rigorous validation, documentation, and quality control
Identify opportunities for optimization and innovation in marketing and engagement strategies
Develop custom machine learning models such as segmentation, multi touch attribution, churn models etc
Use predictive modeling to bring insights into Humana member experiences utilizing Regression, Random Forest, XG Boost models, clustering, text mining for revenue generation, and other business outcomes
Conduct a power analysis, hypothesis testing, develop marketing A/B test design, support implementation of the tests and present the statistical findings of the test to our business partners
Test Design and Analysis: responsible for valid test design, appropriate sample sizing and setup to ensure results are statistically significant and insights are generated. Responsible for advocating and building the discipline for continual testing, measurement, and iteration
Qualification
Required
Bachelor's degree in Data Analytics, Economics, Business, or related quantitative field
3–5 years of professional experience in data analytics or data science
3-5 years of professional experience in SQL, Python, or R for data analysis and modeling
3-5 years of professional experience mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions
3-5 years of professional experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting
3-5 years of professional experience creating reports, projections, models, and presentations to support business strategy and tactics
1-3 years of professional experience with data visualization tools (e.g., Tableau, Power BI)
1-3 years professional experience setting up causal inference experiments
Excellent communication skills and ability to present complex findings clearly
Preferred
Experience working with integrated health data (clinical + marketing)
Master's degree in a quantitative or healthcare-related field
Familiarity with HIPAA and healthcare compliance standards
Experience with Snowflake/ Databricks
Marketing experience a plus
Experience with Adobe Analytics
Benefits
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
Company
Humana
Humana is a health insurance provider for individuals, families, and businesses.
H1B Sponsorship
Humana has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (282)
2024 (246)
2023 (284)
2022 (274)
2021 (212)
2020 (84)
Funding
Current Stage
Public CompanyTotal Funding
$13.07B2025-05-30Post Ipo Debt· $5B
2025-03-03Post Ipo Debt· $1.25B
2024-03-11Post Ipo Debt· $2.25B
Leadership Team
Recent News
2026-01-13
2026-01-09
2026-01-07
Company data provided by crunchbase