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Senior Data Scientist, Product Analytics
Sin especificarTiempo completoProduct AnalyticsDigital Health
Join a digital health company’s machine learning team to use health and behavioral data to shape product decisions and improve digital heart health experiences. Partner with product, engineering, data, clinical, marketing, and customer success teams.
Responsabilidades
- Analyze large, complex datasets using statistical methods and visualization to identify patterns and trends.
- Set goals, forecast outcomes, and monitor product and engagement metrics.
- Design, run, and analyze A/B tests, including tests of machine learning features, accounting for causal effects and treatment or prevention relationships.
- Monitor production machine learning models and identify opportunities for model improvements and data-driven solutions.
- Identify and evaluate product improvement opportunities, and inform roadmaps with insights and recommendations.
- Collaborate with product, engineering, data science, and healthcare partners to shape and deliver product strategy.
- Use AI tools to improve workflow efficiency and quality, and stay current with healthcare analytics and AI research.
Requisitos
- Bachelor’s degree in statistics, mathematics, computer science, engineering, or another quantitative field.
- At least 4 years of hands-on analytics or data science experience applying quantitative methods.
- Experience leading data-driven projects from definition through execution, including metrics, experiments, and actionable recommendations.
- Strong SQL skills and proficiency with Python, including Pandas, NumPy, and SciPy, and data visualization.
- Familiarity with experimental design and statistical modeling, such as Bayesian methods or propensity score matching.
- Experience evaluating machine learning models in production.
- Hands-on experience using AI tools for analysis, coding, research, and problem solving.