Develop and own rigorous study designs and measurement plans for CAHPS & HOS interventions, pilots, and programs
Build, maintain, and scale lightweight A/B testing frameworks to facilitate rapid, consistent experimentation and learning
Create and maintain a centralized inventory of experiments, insights, and learnings to support organizational knowledge and strategy
Partner with operations teams and external vendors to ensure methodological integrity and effective, continuous measurement
Conduct early and consistent evaluation of causal impact, ensuring actionable insights are generated and communicated to stakeholders
Iterate on study and measurement approaches to accelerate feedback loops and reduce uncertainty in decision-making

Bachelor’s degree in Data Science, Statistics, Epidemiology, or related field
5+ years of experience in study design, experimentation, or applied data science
Expertise in A/B testing, causal inference, and measurement strategies
Proficiency in programming languages and statistical tools (e.g., Python, SQL)
Demonstrated ability to articulate ideas effectively in both written and oral forms with strong collaboration skills
Ability to work independently and exercise sound judgment on complex analytic issues

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 and many other opportunities

Lead Data Scientist – Experimentation

Key skills