Lead Data Scientist, Precision Mental Health

New York City / Remote

Full Time Senior-level / Expert USD 68K - 135K *
Apply now Apply later

Our mission: eliminate every barrier to behavioral health. 
Spring Health is a comprehensive mental health solution for employers and health plans. Unlike any other solution, we use clinically validated technology called Precision Mental Healthcare to pinpoint and deliver exactly what will work for each person  — whether that’s meditation, coaching, therapy, medication, and beyond. 
Today, Spring Health serves more than 200 companies, from start-ups to multinational Fortune 500 corporations, and is a preferred mental health provider to companies like General Mills, Guardian, Bain, and Instacart. We have raised over $300 million from prominent investors including Kinnevik, Tiger Global, Northzone, RRE Ventures, Rethink Impact, Work-Bench, William K Warren Foundation, SemperVirens, Able Partners, True Capital Ventures, and a strategic investor, Guardian Life Insurance. Thanks to their partnership, our current valuation has reached $2 billion.
We are looking for an entrepreneurial and experienced data science leader to drive the science and algorithms powering Spring Health’s precision mental health engine. This is an exciting opportunity to design and implement innovative data products that will positively impact the lives of our members as well as contribute to and move the science and practice of mental health forward.

What you’ll be doing:

  • Conceptualize, design and execute an ambitious data science, ML and AI roadmap for our precision mental health initiative in partnership with product, clinical, and engineering leads. 
  • Incubate and experiment proof of concept ML models, scale them to production and continually iterate towards better performance via A/B experiments 
  • Rapidly design, prototype and test ML models in production to deliver best in class mental healthcare services and clinical decision support products. 
  • Build and scale the analytics, algorithms and recommender systems that can identify and target risk stratified member populations and enable the right match for the right patient at the right time. 
  • Rapidly iterate on early stage products where a hybrid skill set of product intuition, user/business empathy and data science expertise is essential
  • Identify and define new data opportunities and work with other team members to improve how we do data collection, storage, experimentation and analysis. 

What we expect from you:

  • You are passionate about changing the face of mental health care and Spring Health’s mission to remove all barriers to mental health resonates with you
  • Significant (10+ years)  data science experience, ideally including an advanced degree in a data-related or otherwise quantitative field.
  • You have overseen the development of data products from discovery stage into production.  
  • You have experience in a broad spectrum of data science techniques and are excited to apply them to solve complex clinical or business problems
  • Significant experience extracting insights from large data sets (structured and unstructured) 
  • Experience using, building and enabling analytics infrastructure (ie data, analytics and ML pipelines)
  • Proficiency using ML in variety of contexts, particularly supervised/unsupervised learnings, recommendations systems, NLP, information extraction, search and ranking etc
  • Prior track record of successfully incubating, scaling and deploying (impactful) ML data products in production. 
  • Ability to understand not only how to use an analytical technique but why it is or is not appropriate in a given situation, with available data, and for specific business needs
  • Strong presentation skills — fluently tell a compelling clinical or business story with data
Benefits of working at Spring Health: Focus on total health including:Generous medical, dental, vision coverage available day 1 + access to One MedicalAccess to Spring Health’s platform which includes (10) free therapy sessionsUnlimited time off in addition to (12) paid holidays16-18 weeks paid parental leave $500 per year Wellness Reimbursement Creating a culture you can thrive in:Flexible remote and hybrid work style arrangementsCalm Fridays to encourage meeting & distraction free days Donation matching to support your favorite causesDedicated employee resource groups   Supporting you financially through:Competitive mix of salary and stock optionsEmployer sponsored 401(k) match In addition to finding people who are truly excellent at what they do, we take our values at Spring Health seriously:Members Come First We are genuine member advocates.Move Fast to Change Lives We build with urgency and intention.Take Ownership We extend trust and hold ourselves accountable.Embrace Diverse Teams & Perspectives We find strength in the diversity of cultural backgrounds, ideas, and experiences.Science Will Win We will achieve impact by innovation and evidence based frameworks.Candor with Care We are open, honest and empathetic. More information on Spring Health and what it is like to work here can be found here! 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, 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.

* Salary range is an estimate based on our salary survey at salaries.ai-jobs.net

Tags: A/B experiments Engineering ML ML models NLP Recommender systems

Perks/benefits: 401(k) matching Competitive pay Flex hours Flex vacation Health care Insurance Medical leave Parental leave Wellness

Regions: Remote/Anywhere North America
Country: United States
Job stats:  11  5  0
  • Share this job via
  • or

Other jobs like this

Explore more AI/ML/Data Science career opportunities

Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.