Easy Apply
Easy Apply
The Data Scientist will analyze healthcare data, build analytics infrastructure, develop insights, and enable reporting to support decision-making across the organization.
At Jukebox Health, our mission is to empower everyone to live safer, healthier, more independent lives at home. We partner with health plans to make homes safer and more accessible for older adults and high-needs populations. We achieve this by combining technology with networks of clinicians, suppliers, and installers to deliver personalized home modifications and environmental supports nationwide. Founded by experienced entrepreneurs, Jukebox Health is a fast growing healthcare services company backed by top venture capital firms like Valtruis and The Home Depot.
We're looking for a Data Scientist to join our team and help drive data-informed decision-making across our clinical operations and business strategy. You'll work closely with clinical ops, product, and business leaders to build analytics infrastructure, develop insights from healthcare data, and enable self-service reporting across the organization.
Key Responsibilities- Work with clinical team to analyze populations for targeting and outcomes analysis, including risk stratification and efficacy modeling
- Partner with leaders to produce KPIs that improve organizational focus, including SLAs and performance metrics
- Own the core data architecture at Jukebox (LookML) to support self-service analytics for the team
- Build data export processes in alignment with partner specifications
- Develop and maintain ETL jobs and data pipelines using Snowflake
- Create analysis products that enable stakeholders to make data-driven decisions
- Collaborate cross-functionally to identify opportunities for data-driven improvements
Required
- 3+ years of experience in data science, analytics, or health informatics, with experience in a startup environment
- Strong SQL skills with experience in BigQuery, Snowflake, or equivalent data warehouse platforms
- Experience with Looker and developing LookML for self-service analytics
- Proficiency in Python and Jupyter notebooks for data analysis and modeling
- Experience working with healthcare data sets including claims and/or HIE data
Preferred
- Experience building ETL jobs and data cleaning pipelines
- Background in health informatics or population health analytics
- Experience with ML, risk stratification, and outcomes modeling in healthcare
- Familiarity with Medicaid, MLTSS, or managed care data environment
How We Invest In You
- Generous company-funding of our health, vision, and dental plans
- HSA plan with company seeding
- FSA plan
- Short and Long-Term Disability
- Life and Personal Accident Insurance
- Hospital Insurance
- 401k immediately upon hire
- Generous candidate referral program
- Yearly wellness stipend
Time Away
- Unlimited PTO + 10 paid holidays
Remote First Team
- $1000 stipend towards work from home costs
- Frequent team off-sites and get-togethers around the country
- Collaborative team environment
- Monthly Townhalls
- High trust environment
- A laptop and company swag upon hire
Compensation Range: $110,000 - $150,000/year + company equity
Top Skills
BigQuery
Jupyter
Looker
Lookml
Python
Snowflake
SQL
Similar Jobs
Edtech
The Data Scientist will build analytics infrastructure, conduct analysis and modeling, and collaborate with teams to enhance data impact and insights. Responsibilities include exploratory analysis, model building, and maintaining datasets for student success and operational efficiency.
Top Skills:
AirbyteAWSAzureDbtFivetranGCPPythonPyTorchSQLTableauTensorFlow
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3
This role involves analyzing blockchain data, mentoring a team, building models, and collaborating with blockchain researchers to enhance product development and security.
Top Skills:
PythonRSQL
Agency • Digital Media • eCommerce • Professional Services • Software • Analytics • Consulting
The Lead Data Scientist will create data-driven marketing solutions, collaborate with clients in the CPG and Retail sectors, and utilize machine learning techniques to enhance marketing strategies.
Top Skills:
AWSAzureGCPPythonSklearnSQLTensorFlow
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
