Position: Senior Data Scientist
Location: San Jose CA/ Remote
Duration: contract
Rate: DOE
Role Overview
We are seeking highly analytical and outcome-driven Data Scientists to translate business questions into testable hypotheses, apply advanced analytical methods, and deliver evidence-based recommendations that drive measurable business impact.
Key Responsibilities
· Translate approved business questions into testable hypotheses sized at one to three days with clear exit criteria and confidence levels.
· Design and execute analytical methods including segmentation, causal inference, forecasting, propensity modeling, uplift modeling, and experiment design.
· Defend analytical methodology and findings during review and governance forums.
· Provide an initial evidence-based answer within five business days, including inconclusive or negative results.
· Maintain daily progress updates covering hypotheses tested, findings, confidence level, next steps, and blockers.
· Develop production-quality, version-controlled analytical code with reproducible notebooks and documented assumptions.
· Partner with Data Engineers to define features, granularity, historical data requirements, and address data gaps proactively.
· Convert validated findings into metric definitions and business logic for visualization and reporting.
· Collaborate with client data scientists and provide comprehensive model documentation for handover and reuse.
Additional Responsibilities (Senior Data Scientist)
· Serve as analytics lead for the pod.
· Own analytical quality across engagements.
· Act as peer reviewer and mentor internal and client analysts.
· Drive analytics best practices and technical excellence.
Qualifications
· Senior Data Scientist: 10+ years of applied data science experience.
· Advanced proficiency in Python and/or R and SQL.
· Demonstrated experience deploying analytical models into production.
· Strong foundation in statistics, machine learning, experimentation, and predictive analytics.
· Strong background in statistics, mathematics and with data science degree
· Healthcare, medical device, life sciences, or regulated-industry experience preferred.
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