You’ll own projects that range from producing growth and performance analyses that guide strategic and product decisions, to designing and evaluating experiments, to building predictive models, and to improving patient engagement and clinical efficiency.
You’ll be expected to communicate insights proactively, frame results in business terms, and work closely with your core cross-functional teammates (Product, Engineering and Design) as well as stakeholders across Operations, Clinical, and Finance.
Requirements
4+ years of experience in data science, analytics, or related fields, with a track record of delivering measurable business impact.
Advanced proficiency in Python (pandas, scikit-learn, statsmodels and all other common data science packages) and SQL; experience with modern data warehouses (Snowflake, Redshift, BigQuery).
Strong foundation in experimental design, causal inference, and statistical methods.
Practical understanding of ML modeling trade-offs: when to deploy advanced models vs. when a well-structured analysis is the right tool.
Understands the spirit of George Box’s reminder that “all models are wrong, but some are useful” and applies that judgment to build solutions that balance sophistication with pragmatism.
Exceptional communication skills, displaying the ability to frame technical findings in a way that resonates with stakeholders.
Experience in DBT is a plus, but not required.
Experience on a Product growth team, where experimentation and opportunity identification were key aspects of the role, is a plus.
Strong applied experience in data science is essential; a Master’s or PhD in a quantitative field is a plus
Benefits
Excellent benefits: medical, dental, vision, effective day 1 of employment
401K with match
Generous PTO plus paid holidays
Paid parental leave
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data scienceanalyticsPythonSQLpandasscikit-learnstatsmodelsexperimental designcausal inferencestatistical methods
Soft skills
communication skillscollaborationproblem-solvingstrategic thinkingstakeholder engagement