Senior Data Scientist

Summary

Join Virta Health's Advanced Analytics & AI team as a Senior Data Scientist and play a crucial role in shaping data-driven decision-making processes. You will work closely with product development, engineering, commercial, and clinical teams to translate data into actionable insights. This role involves hands-on coding, strategic leadership, and collaboration with stakeholders to create impactful data-driven reports and analyses. Responsibilities include serving as data lead for the Adoption Squad, understanding product strategy and goals, using data to steer conversations, translating product hunches into analytical questions, defining and monitoring KPIs, driving decision-making with data, leading experimentation, identifying opportunities for AI integration, and working end-to-end to translate data into actionable recommendations. The ideal candidate will have extensive experience in healthcare analytics or data science, working with large datasets and various data science tools. Virta offers a competitive salary and benefits package.

Requirements

• 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
• 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

Responsibilities

• Serve as data lead for the Adoption Squad
• Understand the product – strategy, goals, roadmap, users – deeply enough to identify high-impact, strategic opportunities and risks
• 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
• Identify where product strategy and ideas could be better, more easily, or more quickly implemented with the help of AI (ML or GenAI), and help enable this integration
• Show up as a collaborative leader, not simply a service provider, and help focus work on what matters most
• Work end-to-end to translate clinical, member, and claims data from our 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

Preferred Qualifications

• 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.)
• Experience building pipelines using dbt
• Demonstrated project management experience

Benefits

Remote work, flexible hours