Senior Data Scientist
New
V
Virta HealthDigital Health
RemoteFull-TimeSenior
Salary167,249 - 216,000 USD per year
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Job Details
- Experience
- 7+ years
- Required Skills
- PythonSQLData MiningTableauLooker
Requirements
- 7+ years of experience in a Healthcare Analytics or Data Science role
- Experience working with large datasets and conducting statistical and quantitative modeling
- Strong programming, data mining, clustering and segmentation skills
- 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
- Experience working at a digital health or similar startup, preferably during the growth phase
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.
- 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.
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