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About the role
- Design, build, and deploy statistical and machine-learning models to support product optimization, forecasting, and decision-making.
- Analyze large, complex datasets to identify trends, patterns, and opportunities for improvement.
- Partner with product managers, engineers, and leadership to translate business problems into data science solutions.
- Develop experiments and A/B tests, interpret results, and clearly communicate findings to non-technical audiences.
- Build reproducible data pipelines and analytical workflows using Python, SQL, and modern data tooling.
- Present insights through clear documentation, visualizations, and executive-level summaries.
Requirements
- 4+ years of experience in data science, applied analytics, or a closely related role.
- Strong proficiency in Python (pandas, NumPy, scikit-learn) and SQL.
- Experience with statistical modeling, machine learning, and experimentation frameworks.
- Ability to clearly explain complex analytical concepts to non-technical stakeholders.
- Experience working in fast-paced, product-driven environments.
- Nice to Have
- Experience in healthcare, digital health, or consumer technology platforms.
- Familiarity with cloud data platforms (e.g., Snowflake, BigQuery, Redshift).
- Exposure to producing models or collaborating with MLOps teams.
Benefits
- Competitive pay
- Fully remote work
- Working for a cutting edge, industry leading client
- Advancement opportunities
- Working with leaders and the brightest minds in the game
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data scienceapplied analyticsstatistical modelingmachine learningexperimentation frameworksPythonSQLpandasNumPyscikit-learn
Soft Skills
communicationanalytical thinkingproblem-solvingcollaborationpresentation skills