Senior Data Scientist

About the Opportunity:

The organization is focused on addressing public health challenges such as obesity and type 2 diabetes by providing care that combines individualized nutrition with ongoing clinical support. This opportunity is for a Senior Data Scientist on the Advanced Analytics & AI team, responsible for transforming data into actionable insights and supporting data-driven decision making. The role collaborates with engineering, product, commercial, and clinical teams to improve health outcomes through innovative data solutions.

Responsibilities:

• Serve as data lead for the Retention Squad

• Deeply understand product strategy, goals, roadmap, and users to identify strategic opportunities and risks

• Use data to inform discussions, develop hypotheses, challenge assumptions, and prioritize initiatives

• Translate product ideas into analytical questions and design approaches to answer them

• Define, monitor, and analyze KPIs and product metrics to identify trends and drivers

• Prioritize and deliver analyses that inform product decisions and impact outcomes

• Guide experimentation, enabling self-serve experiments and promoting rapid learning

• Identify opportunities to integrate AI and machine learning to improve product strategy and execution

• Act as a collaborative leader to focus work on high-impact priorities

• Translate clinical, member, and claims data into actionable recommendations by designing reports, dashboards, data flows, and transformation pipelines

Requirements:

• Experience at a digital health or similar startup, ideally during a growth phase

• 7+ years in Healthcare Analytics or Data Science working with large datasets and quantitative modeling

• 5+ years of experience with data science and visualization tools (SQL, R, and/or Python)

• Advanced understanding of data storage, ETL frameworks, data transformation, and validation

• Experience building BI dashboards with tools like Looker or Tableau

• Ability to explain technology and techniques to others

• Experience leading cross-functional efforts to build scalable data systems (nice-to-have)

• Understanding of Generative AI and experience with GenAI tools (nice-to-have)

• Experience building pipelines using dbt (nice-to-have)

• Demonstrated project management experience (nice-to-have)

Note:

RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.