Qualifications

• 8+ years of experience in data science or advanced analytics, preferably in healthcare or health plans.
• Deep expertise in statistical modeling, causal inference, and machine learning using Python, SQL, and libraries like scikit-learn or PyTorch.
• Familiarity with healthcare data standards such as claims, eligibility, EHR, and coding sets like ICD, CPT, HCPCS.
• Experience building and deploying production-grade models in analytical or product settings.
• Proven experience mentoring and leading high-performing data science teams.
• Entrepreneurial mindset: resourceful, proactive, and capable of thriving in ambiguity.
• Excellent communication skills for translating complex data into straightforward business insights.

Responsibilities

• Design and deploy predictive, risk-scoring, and optimization models for behavioral health services.
• Define and evolve the data science stack related to AI/ML infrastructure, including feature stores and model evaluation frameworks.
• Conduct deep data exploration and analysis to uncover trends and generate actionable insights from claims and clinical data.
• Collaborate with client teams to translate complex models into clear insights that demonstrate ROI and inform payer workflows.
• Lead cross-functional collaboration with the CEO, CPO, and engineering teams to guide product direction and data strategy.

Benefits

• Flexible hybrid work arrangement, approximately 3 days in the office.
• Unlimited vacation policy for work-life balance.
• Paid parental leave to support family growth.
• Comprehensive medical, dental, and vision insurance plans.
• Pre-tax commuter benefits to ease travel costs.
• 401(k) retirement savings plan.
• Significant equity opportunities available for early employees.
• Direct mentorship from experienced company founders.
• Opportunity to help build team culture from the ground up.
• Regular team events and off-sites to foster camaraderie and connection.
• Company-provided equipment and home office setup for remote work efficiency.