About Hello Heart:
Hello Heart is on a mission to make heart attacks a thing of the past.
We’re an AI company focused exclusively on heart health, building a platform that predicts and prevents cardiac events before they happen—identifying risk up to 10 days in advance versus 10 years in traditional clinical models.
This is already working at scale. Hello Heart has been shown to reduce inpatient hospital days by 47% and deliver ~$1,800 in annual savings per member. Hello Heart is the cardiac prevention partner to over 80% of large U.S. health plans and serves hundreds of public and private employers.
We’re defining how the #1 cause of death—heart disease—is managed in the AI era. Join us.
About the role
Hello Heart is seeking a talented and impact-driven Senior Data Analyst, Product to join our ML team. In this role, you will shape the future of the digital health products that help people understand and improve their heart health. By applying your technical skills, analytical mindset, and product intuition to rich real-world health and behavioral data, you will help define the experiences we build for our users and the value we deliver to employers and health plans.
You will collaborate with a wide range of cross-functional partners across Product, Engineering, Data Science, Data Engineering, Clinical, Marketing, and Customer Success. You will use data and analysis to identify and solve our biggest product challenges, influence product strategy and investment decisions, and translate insights into digital solutions that improve the well-being of the people we serve.
What you'll do
- Product leadership: Use data to shape product development, quantify new opportunities, and identify upcoming challenges. Help your partner teams prioritize what to build, set goals, and understand their product's ecosystem, ensuring what we build brings real value to users, clients, and Hello Heart.
- Analytics: Guide teams with data and insights. Develop hypotheses and test them using a varied toolkit of rigorous analytical approaches, from experimentation to causal inference and statistical modeling.
- Communication and influence: Don't just present data, tell data-driven stories. Influence partners with clear insights and recommendations, and become a trusted strategic partner through structure and clarity.
Your responsibilities
- Work with large and complex datasets, applying statistical analysis and visualization methods to extract meaningful patterns and trends.
- Identify and measure the success of product efforts through goal setting, forecasting, and monitoring of key product and engagement metrics.
- Design, execute, and analyze A/B tests, including tests of ML-driven features, accounting for cause/effect and treatment/prevention relationships.
- Monitor and analyze the performance of our ML models in production, and generate insights and research leads for model improvements and new data-driven solutions.
- Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
- Partner with Product, Engineering, Data Science, and healthcare professionals to inform and execute product strategy.
- Integrate AI tools into your workflows to drive measurable gains in efficiency and quality.
- Stay current with the latest research and best practices in healthcare analytics and AI.
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 in 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.
Hello Heart has a positive, diverse, and supportive culture - we look for people who are collaborative, creative, and courageous. Oh, and if you want to see some recent evidence of the fun things we do at Hello Heart, check out our Instagram page.
Skills Required
- Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or another quantitative field
- 4+ years of hands-on experience in analytics or data science
- Experience leading data-driven projects from definition through execution
- Experience defining metrics, designing experiments, and communicating actionable insights
- Strong knowledge and experience with SQL
- Proficiency in Python, including Pandas, NumPy, and SciPy
- Proficiency in data visualization
- Familiarity with experimental design and statistical modeling techniques, including Bayesian methods and propensity score matching
- Experience analyzing or testing ML model performance in production
- Hands-on experience using AI tools for data analysis, coding, research, and problem solving
- Strong analytical and critical thinking skills
- Excellent communication and storytelling ability
Hello Heart Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Hello Heart and has not been reviewed or approved by Hello Heart.
-
Healthcare Strength — Healthcare benefits are considered strong, with an employer-verified health insurance rating of 4.7/5 and a benefits rating of 3.9/5 on one platform. Feedback suggests medical, dental, and vision coverage is comprehensive for employees and dependents.
-
Equity Value & Accessibility — Equity/stock options are commonly included in compensation packages, signaling accessible ownership opportunities typical of venture-backed startups. This element is often cited alongside base pay as part of a competitive total rewards mix.
-
Leave & Time Off Breadth — Time off policies are characterized as flexible or unlimited PTO, encouraging rest and balance. This breadth of leave is presented as part of a comprehensive startup package.
Hello Heart Insights
What We Do
Hello Heart is the only digital therapeutics company to focus exclusively on heart disease, the #1 cause of death for men and women in the US. Through a connected mobile app that uses AI, behavioral science, and personalized digital coaching to drive lifestyle changes, Hello Heart empowers people to embrace healthier behavior, which can reduce the risks of high blood pressure and heart disease. It also helps users catch readings that are extremely high, encourage them to talk to their doctor and catch potential risk in time. Validated in peer-reviewed studies, Hello Heart is easy to use and works alongside an employer’s benefits ecosystem. Founded in 2013, Hello Heart is a member of the American Heart Association’s Innovators’ Network, and is part of the CVS Health Point Solutions Management Program. Visit www.helloheart.com for more information.
