Staff Data Scientist, Personalization & Intelligence

Spring Health • San Francisco, CA

1d • Hybrid

About The Position

Our mission: eliminating every barrier to mental health. Spring Health is a global mental health company on a mission to eliminate every barrier to mental health. We're building a world where getting support is simple, personal, and built around the person, so care can continue through every job, move, health plan, and life stage. Our AI-native platform helps us deliver personalized support across self-guided tools, coaching, therapy, medication management, and specialty care. With outcomes independently validated by JAMA Network Open and the Validation Institute, Spring Health reaches more than 170 million people worldwide through leading employers, health plans, and partners. As an AI-native company, we believe technology should expand the reach, quality, and humanity of care. Every Spring Health team member is expected to use AI tools thoughtfully, apply human judgment to AI outputs, and keep building AI fluency in ways that support their role and our mission. Reporting to the Senior Director, Engineering in Customer Value, this Staff Data Scientist will architect the critical semantic and intelligence layers required to make our profile data consumable for AI-native development and downstream product features. Please note that this is a hybrid role based in San Francisco, with an expectation to be in the office 2–3 days per week at our 44 Montgomery Street location. Candidates must be based in the San Francisco metro area or able to relocate independently within 90 days of their start date. Occasional travel will be required for team on-sites.

Requirements

• 8+ years of experience building production ML/AI systems, inference microservices, and real-time data pipelines
• Hands-on experience with Snowflake and OpenSearch for profile data/vector search
• Experience with LLM orchestration (LangGraph, LangSmith)
• Proven track record at the Staff level of operating effectively in highly ambiguous territories, investigating emerging technologies, and aligning diverse stakeholders around a clear technical strategy
• Demonstrated ability to mentor and develop engineers across the organization
• Adept at covering the breadth of technology while diving deep into architectural complexity and scalability for data flows, model pipelines and inference endpoints and management
• Track record of technical leadership: creating clarity from ambiguity, defining strategy from vision, and driving org-wide architectural improvements
• Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field

Responsibilities

• Take ownership of a team’s semantic and intelligence architecture—providing system-wide design guidance for profile data (member, customer, provider) and ensuring robust data contracts across platform teams.
• Use AI to explore and validate architectural patterns and decisions; design AI-augmented workflows (e.g., automated code generation, incident analysis) that multiply team output and enable engineers at all levels to work more effectively, specifically for personalized decisioning systems, agentic workflows, and real-time inference serving on AWS.
• Establish guardrails for safe and responsible AI usage across your team, covering security, compliance, and output correctness, specifically for LLM-based systems, ensuring compliance and correctness.
• Critically influence large, cross-team projects—ensuring execution without delay or compromise, and anticipating and removing barriers of all kinds.
• Bring critical thinking and drive shared understanding in ambiguous situations; given a clear vision, create a strategy; given a clear strategy, define a sequence of objectives, specifically for the core intelligence and recommendation engine.
• Develop strong working relationships cross-functionally and with business stakeholders; make sound tradeoffs between competing needs across short- and long-term horizons.
• Empower data scientists and engineers to set ambitious goals and turn vision into reality; mentor and develop engineers across the organization, not just your immediate team, mentoring on DS/ML best practices.
• Participate in an on-call rotation; push for better preparation and planning to reduce the frequency and impact of production incidents.

Benefits

• Health, Dental, Vision benefits start on your first day at Spring.
• Access to One Medical accounts
• HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type.
• Employer sponsored 401(k) match of up to 2% for retirement planning
• A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents.
• Competitive paid time off policies including vacation, sick leave and company holidays.
• Parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents (at 6 months tenure).
• Access to Noom, a weight management program
• Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses.
• Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription
• Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care
• Up to $1,000 Professional Development Reimbursement a year.
• $200 per year donation matching to support your favorite causes.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior