Data Scientist
Drive strategic data projects end-to-end, building models and metrics that shape go-to-market strategy and operations. Requires 4+ years analytics experience or advanced quantitative degree, strong SQL/Python skills, and ability to work directly with leadership on high-impact business decisions.
About the job
Responsibilities
- Drive strategic projects that require deep data analysis, with accountability for end-to-end execution and business outcomes
- Source and use industry and market data to shape go-to-market and growth strategy
- Leverage internal workflow data to predict operational throughput, bottlenecks, and prioritize workflow automations
- Prototype new modeling approaches to AI problems (outcome prediction and optimization for insurance-related processes) in collaboration with Engineering
- Build out a unified user interaction model to define consumer and provider product roadmaps
- Create and rapidly iterate on externally facing data products for key partners and participate in priority client engagements
- Establish core data sources and metrics to empower real-time business insights
- Work directly with CEO and leadership team on business decisions balancing growth and profitability
Requirements
- Ability to bring clarity to ambiguous problems and lead projects with major strategic/business impact
- Advanced degree in a quantitative field or 4+ years of work experience in an analytics-heavy, business-focused role
- Strong technical background with exceptional ability to do data analysis using SQL and Python
- Comfort with zooming in and out of problems, jumping between high-level thinking and granular methods
- Strong written and verbal communication skills
- Track record of moving quickly, finding shortcuts, and going to unreasonable lengths to deliver on goals
- High NPS with former teammates
Nice-to-Haves
- Experience picking up new tools on the fly
Skills
SQL, Python, Data Analysis, Statistical Modeling, Business Intelligence, Data Visualization, A/B Testing, Predictive Analytics, Stakeholder Management, Cross-Functional Collaboration
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