remote
Lead Data Scientist - Experimentation - Humana
Data Scientist
Lead Data Scientist focused on experimentation, designing study frameworks and measurement strategies for CAHPS & HOS surveys using Python, machine learning, and advanced statistical modeling to drive actionable insights and continuous improvement.
About the role
Key Responsibilities
- Design and implement robust A/B and multivariate experiments to evaluate survey interventions and member experience initiatives.
- Develop lightweight testing frameworks and measurement strategies that integrate seamlessly with CAHPS & HOS analytics pipelines.
- Collaborate with cross‑functional teams to translate business questions into rigorous study designs and actionable insights.
- Lead data engineering efforts to ensure high‑quality, reproducible datasets for experimentation and modeling.
- Communicate findings to stakeholders through clear visualizations, dashboards, and executive summaries.
Requirements
- Advanced degree in Statistics, Data Science, or related field with 5+ years of experience in experimentation or survey analytics.
- Proficiency in Python, SQL, and statistical libraries (e.g., pandas, scikit‑learn, statsmodels).
- Deep understanding of experimental design, hypothesis testing, and causal inference techniques.
- Experience building scalable data pipelines and working with large survey datasets.
- Strong communication skills and ability to translate complex analyses into actionable recommendations.
Skills
pythonmachine learning