This organization is addressing a public health crisis of high obesity rates and type 2 diabetes/pre-diabetes in the US. Despite significant investment in treatments, outcomes are poor. The organization aims to reverse these diseases and deliver life-changing results through individualized nutrition and ongoing clinical support, partnering with health plans, employers, and government organizations.
Requirements
- 7+ years of experience in a Healthcare Analytics or Data Science role, working with large datasets and conducting statistical and quantitative modeling, melding analytics with strong programming, data mining, clustering and segmentation.
- 5+ years of work experience working data science and visualization tools (SQL, R, and/or Python)
- Advanced understanding of data storage, ETL frameworks, data transformation, and validation
- Experience in building BI dashboards using tools such as Looker or Tableau
- Ability to explain technology, techniques and approaches to others
- Experience leading cross-functional efforts to build scalable systems and data pipelines, working with complex data structures
- Understanding of Generative AI concepts and basic usage of GenAI tools (ChatGPT, Claude, etc.)
Responsibilities
- Serve as data lead for the Retention Squad
- Use data to steer conversations: bring data-driven hypotheses, challenge assumptions, frame trade-offs, prioritize strategically.
- Translate vague product hunches into sharp analytical questions, and design the right approach to answer them.
- Be the source of truth for KPIs and product metrics: help define and monitor them, and identify trends and drivers.
- Drive decision making with data: Prioritize analyses that meaningfully inform product decisions and change outcomes, reframe analysis requests that won’t do that into ones that will, and design and deliver the resulting analyses properly and rapidly.
- Lead experimentation thoughtfully: guide the team on when and when not to experiment, help enable self-serve experimentation, and focus on frequent, small experiments to speed learning.
- Work end-to-end to translate clinical, member, and claims data from the data warehouse into actionable recommendations: work with stakeholders to design reports and dashboards that answer real business questions, design the data flows to support these, and build the required data transformation pipelines.
Other
- Experience working at a digital health or similar startup, preferably during the growth phase, in order to function effectively in a fast-paced, rapidly changing environment.
- Show up as a collaborative leader, not simply a service provider, and help focus work on what matters most.
- You put people first and take care of yourself, your peers, and patients equally
- You have a strong sense of ownership and take initiative while empowering others to do the same
- You prioritize positive impact over busy work
