Data Scientist
Jerry
PythonSQL
Senior Data Scientist
Virta Health
full-time
Posted on:
Location Type: Remote
Location: Remote • Alaska, Hawaii, Maine, Mississippi, New Mexico, Oklahoma, Rhode Island, South Dakota, Vermont, Wisconsin • 🇺🇸 United States
Visit company websiteSalary
💰 $167,249 - $216,000 per year
Job Level
Senior
Tech Stack
ETLPythonSQLTableau
About the role
- Serve as data lead for the Retention 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.
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
Benefits
- Offers Equity 📊 Resume Score Upload your resume to see if it passes auto-rejection tools used by recruiters Check Resume Score
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analysisstatistical modelingquantitative modelingdata miningclusteringsegmentationETL frameworksdata transformationdata validationbusiness intelligence
Soft skills
collaborative leadershipstrategic prioritizationcommunicationproblem-solvinganalytical thinkingdecision makingstakeholder engagementhypothesis testingexperiment designdata-driven decision making
