Senior Data Scientist

Virta Health

1d•Remote

About The Position

The Product and Care Team Analytics team is accountable for both pioneering new classes of data that power our business, and ensuring that data is powerful, clear, correct and easy to use throughout the company. The team collaborates closely with the engineering, product development, commercial, and clinical teams to transform data into actionable insights that propel Virta's mission forward. As a Senior Data Scientist, you will play a crucial role in shaping our data-driven decision making processes and in driving impactful insights that advance our mission. This role offers a unique blend of hands-on coding and strategic leadership, working closely in partnership with our Product Development group. You will get a chance to work closely with stakeholders to create impactful data-driven reports and analyses that strengthen Virta’s value proposition.

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.
7+ years of work experience working with data science and visualization tools (SQL, Python)
Experience in building BI dashboards using tools such as Looker or Tableau
Experience executing best practices in data security and privacy at the level required in a highly regulated industry
Ability to explain technology, techniques and approaches to others

Nice To Haves

Experience leading cross-functional efforts to build scalable systems and data pipelines, working with complex data structures
Understanding of Generative AI concepts and usage of GenAI tools (ChatGPT/Codex, Claude/Claude Code, Gemini, etc.)
Experience building pipelines using dbt
Demonstrated project management experience

Responsibilities

Serve as an embedded data lead: 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 decisionmaking 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.