Staff Data Scientist

Who you are

• 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
• Not sure if you meet every requirement? Research shows that women and people from historically underrepresented communities often hesitate to apply for roles unless they meet every qualification compared to other similarly-qualified candidates. At Spring Health, we are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive. If this role excites you, we encourage you to apply

What the job involves

• 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
• 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
• What success looks like in this role:
• Architectural Ownership – You are responsible for parts of our semantic layer and intelligence engine architecture. Your designs are exemplary—others reference them as the standard for engineering excellence across the org
• AI-Augmented Engineering – You design workflows and tooling that make AI a force multiplier for your team, transitioning from rules-based heuristics to predictive ML and deep learning in the personalized decisioning layer and ensuring that the tools your team develops are usable in AI native flows. You establish guardrails that keep AI usage safe, compliant, and high-quality
• Strategic Clarity – You turn vision into strategy and strategy into objectives. You bring structure and shared understanding to the most ambiguous problems on your team and across the org. You shape technical design and requirements, bringing together diverse stakeholder constraints
• Cross-Org Influence – You drive best practices beyond your immediate team. Engineers and leaders across the organization seek your input on the hardest technical problems
• People & Org Health – You empower others to do their best work—providing proper context, mentoring across levels, and fostering an inclusive, high-trust culture
• Operational Reliability – You handle escalations reliably and lead high-stakes investigations with calm, clear communication. You drive systemic improvements to reduce future incidents
• Engineering Excellence – You lead large-scale initiatives to reduce tech debt, improve architecture, and raise the quality bar, ensuring latency and scalability targets for production AI systems. You leave every system better than you found it

Benefits

• Health, Dental, Vision benefits start on your first day at Spring Health. You and your dependents also receive an individual One Medical account which is valued at $199/year per user. HSA and FSA plans available
• A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents
• 10 allocated sick days per year
• Flexible paid time off in addition to 12 paid holidays throughout the year
• Access to Gympass, an on-demand virtual benefit that provides wellbeing coaching, and budget management
• Spring Renewal: When you hit your four-year Springaversary, you’ll be awarded a four week, fully paid, sabbatical leave to renew and recharge
• 4-4.5 months of fully paid parental leave
• Spring Health provides team members and their families with sponsored access to Bright Horizons® child care, back-up care, and elder care
• Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses
• Our People team benchmarks all salaries using the Radford Global Compensation Database for technology and life sciences industries. Radford benchmarks salaries with 3,589 global firms, 6.5 million employees, and 98 countries across the globe. We do this to ensure all of our team members are paid equally and competitively
• On top of competitive and benchmarked salary, Spring Health offers incentive pay (based on role), and equity that begins vesting as we celebrate your first year with the company!
• Employer sponsored 401(k) match of up to 2% after 90 days of employment
• Flexible work arrangements: 66% of Spring Health team members work fully remote while 33% work in a hybrid model from our New York City offices
• Focus Fridays: no meetings, no distractions, just time for you to get work done
• Focus Weeks: In Spring 2023, we held our first ever Focus Week, we canceled all non-essential meetings, minimized distractions, and you, our team members, to dive into the key work that gets chopped up or deprioritized during the regular day-to-day. We saw a 36% jump in the average energized score after those five days of flow state work and are finalizing a plan for quarterly Focus Weeks for team members
• Up to $1,000 Professional Development Reimbursement per calendar year
• $200 per year donation matching to support your favorite causes