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AI Trust Data Scientist II
AI Trust Data Scientist IISpring Health • Salt Lake City, Utah, United States
AI Trust Data Scientist II

AI Trust Data Scientist II

Spring Health • Salt Lake City, Utah, United States
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Our mission : to eliminate every barrier to mental health.

At Spring Health, we’re on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology, Precision Mental Healthcare , empowers us to deliver the right care at the right time—whether it’s therapy, coaching, medication, or beyond—tailored to each individual’s needs.

We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we’ve been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers.

We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We’re just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere.

As a Data Scientist II on the AI Trust team, you will be a key driver in ensuring our artificial intelligence systems are safe, reliable, and effective. You will own and conduct critical analyses and experiments to measure the real-world impact of our AI, helping to define and validate that our systems are technically robust, trustworthy, and outcome-driven. In this deeply cross-functional position, you will collaborate with partners in engineering, product, and other functions to implement the standards and systems that make "safe and effective" AI a reality.

Please note that candidates for this position must be based in the Salt Lake City metro area and be willing to commute 2-3 days a week when this role transitions to a hybrid schedule in 2026 .  We're excited to be growing our presence in Salt Lake City!

What you’ll do :

  • Own and evolve the evaluation frameworks for our AI and ML models, translating high-level trust principles into specific, measurable tests.
  • Define and conduct rigorous experiments to resolve ambiguous questions about the safety, reliability, and impact of our models.
  • Collaborate with engineering partners to design and build production-quality code, creating automated, scalable, and pragmatic testing frameworks based on modern best practices.
  • Partner with product, legal, and infrastructure teams to implement and monitor standards for trustworthy AI.
  • Proactively identify gaps and develop novel evaluation approaches, which may include creating synthetic test data from user traces or building lightweight processes for non-technical partners to iterate on test sets.
  • Synthesize complex evaluation results and industry trends into actionable insights and clearly communicate findings to diverse technical and non-technical stakeholders.

What success looks like :

  • Measurable improvements in key performance and safety metrics on a quarterly basis.
  • Successful design and delivery on POC experiments to improve our base LLM systems.
  • Timely and successful delivery of AI evaluation readouts and safety reviews that directly inform key product improvements
  • Demonstrated impact on our AI strategy through proactive identification of risks and opportunities for enhancement, confirmed by stakeholder feedback.
  • Increased efficiency and coverage of our AI evaluation process, driven by your ownership of and improvements to automated testing frameworks and best practices.
  • What you’ll bring :

  • 2-3 + years of relevant industry experience in data science, machine learning, or a related field.
  • Proficiency in Python and a solid understanding of core statistical concepts. You have a proven ability to write and review production-quality code .
  • Proven experience in evaluating machine learning models, with exposure to large language models (LLMs) being a strong plus.
  • Hands-on experience in one or more of the following areas :
  • Analyzing A / B tests or other experiments with statistical rigor.
  • Using evaluation tools (e.g., LangSmith, open-source libraries) to iteratively measure and improve model performance.
  • Building data pipelines or tools to enable collaboration on test sets.
  • Applied knowledge of concepts in AI ethics, such as fairness, bias, and interpretability.
  • A strong interest in applying data science to complex, high-stakes domains like mental healthcare. You are motivated by our mission to remove every barrier to mental health. A pragmatic and proactive approach to problem-solving, with a history of developing creative solutions to complex problems.
  • Exceptional communication and teamwork skills, with a proven ability to collaborate effectively with diverse, cross-functional teams.
  • An avid learning mindset and a passion for staying at the forefront of trends in AI safety, evaluation, and reliability.
  • The target base salary range for this position is $120,000 - $150,250, and is part of a competitive total rewards package including stock options 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.

    Benefits provided by Spring Health :

    Note : We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria.

  • Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive 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.
  • We offer competitive paid time off policies including vacation, sick leave and company holidays.
  • At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents.
  • Access to Noom , a weight management program—based in psychology, that’s tailored to your unique needs and goals.
  • 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.
  • 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.

    Ready to do the most impactful work of your life? Learn more about our values, what it’s like to work here, and how hypergrowth meets impact at Spring Health : Our Values

    Our privacy policy :   https : / / springhealth.com / privacy-policy /

    Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

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