Machine Learning Data Analyst- Maternity Leave Cover

About Hello Heart

Hello Heart is the only digital therapeutics company to focus exclusively on heart disease, the leading cause of death for U.S. adults. Through a connected device and 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 blood pressure readings that are extremely high and encourages them to talk to their doctor to identify potential risk in time. Validated in peer-reviewed studies and trusted by leading Fortune 500 companies, 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. Hello Heart is backed by leading VCs including Stripes, Khosla Ventures, IVP, Blue Run and Resolute. Visit www.helloheart.com for more information.

About The Role

Hello Heart is seeking a talented and motivated Machine Learning Data Analyst to join our Clinical Data Science team on a temporary basis to cover maternity leave for a 9-month period. As a Research Analyst, you will be responsible for conducting in-depth analysis of our data science products, from research to production. Your work will directly contribute to improving healthcare practices and enhancing the well-being of individuals.

Your Responsibilities

• Monitor & analyze our models performance in production, generate insights and research leads for model improvements and new data driven solutions
• Apply statistical analysis techniques, data mining algorithms, and visualization methods to extract meaningful patterns and trends from complex datasets.
• Conduct AB tests, analyze the impact of models on users behavior, taking into account cause/effect, treatment/prevention relationships.
• Collaborate closely with cross-functional teams, including data scientists, data engineers, product managers, and healthcare professionals, to translate research findings into impactful digital solutions.
  
  

• 2+ years of hands-on experience
• Bachelor's degree in statistics, computer science, engineering or another related field.
• Strong analytical and critical thinking skills, with the ability to interpret complex data and generate meaningful insights.
• Proficiency in SQL
• Proficiency in Python with Pandas
• Proficiency in Tableau or equivalent and data visualization
• Familiarity with research methodologies, experimental design, and statistical modeling techniques (bayesian methods, propensity score matching, etc).
• Advantage for candidates with experience in healthcare data analysis, including Electronic Medical Records (EMR) or clinical data,
• Advantage for candidates with experience in conducting AB tests for ML models in production, modeling the causal effects of treatment interventions