Maxana is partnered with a rapidly scaling, data-driven digital health platform to support advanced analytics, experimentation, and predictive modeling initiatives. We are seeking a Data Scientist who can work closely with product, engineering, and business stakeholders to turn complex data into actionable insights that directly influence product decisions and business outcomes.
This role is hands-on and impact-driven. You will own the full lifecycle of data science initiatives—from problem definition and data exploration to model development, validation, and deployment.
Responsibilities
- 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
