Eliminating barriers to mental healthcare. Clinically-proven technology with world-class providers to deliver precisely what your employees need.
About the role
The target base salary range for this position is $239,000 - $270,000, and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay.
What they're looking for
- 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
- 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
- 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
More about this role
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.
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