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Hello Heart is an AI-driven healthtech company focused on cardiac prevention. The company has built a platform that predicts and prevents cardiac events up to 10 days in advance, significantly outperforming traditional clinical models. Hello Heart partners with over 80% of large U.S. health plans and serves hundreds of employers, demonstrating measurable impact: 47% reduction in inpatient hospital days and ~$1,800 annual savings per member.
You will join the ML team as a Senior Data Scientist focused on Product Analytics. This is a high-impact individual contributor role where you will shape the digital health products that help users understand and improve their heart health. You will apply technical skills, analytical rigor, and product intuition to rich real-world health and behavioral data.
Key responsibilities include:
- Use data to shape product development, quantify new opportunities, and identify challenges; help partner teams prioritize roadmaps and set goals
- Develop hypotheses and test them using rigorous analytical approaches including experimentation, causal inference, and statistical modeling
- Design, execute, and analyze A/B tests, including tests of ML-driven features, accounting for causal relationships
- Monitor and analyze ML model performance in production; generate insights for model improvements and new data-driven solutions
- Define and test opportunities to improve the product; drive roadmaps through insights and recommendations
- Work with large, complex datasets using statistical analysis and visualization to extract meaningful patterns
- Identify and measure product success through goal setting, forecasting, and monitoring of key metrics
- Partner with Product, Engineering, Data Science, and healthcare professionals to inform product strategy
- Integrate AI tools into workflows to drive efficiency and quality gains
- Stay current with latest research and best practices in healthcare analytics and AI
You will collaborate across Product, Engineering, Data Science, Data Engineering, Clinical, Marketing, and Customer Success teams. The role emphasizes both technical depth and strategic influence—you will tell data-driven stories, influence partners with clear insights, and become a trusted strategic advisor.
REQUIREMENTS:
- Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or another quantitative field
- 4+ years of hands-on experience in analytics or data science, solving analytical problems using quantitative approaches
- Proven experience leading data-driven projects from definition to execution, including defining metrics, designing experiments, and communicating actionable insights
- Strong knowledge and experience with SQL
- Proficiency in Python (Pandas, NumPy, SciPy) and data visualization
- Familiarity with experimental design and statistical modeling techniques (e.g., Bayesian methods, propensity score matching)
- Experience analyzing or testing the performance of ML models in production
- Hands-on experience using AI tools to support data analysis, coding, research, and problem solving
- Strong analytical and critical thinking skills, with excellent communication and storytelling ability
