Senior Data Scientist, Pricing and Value Experimentation

Our mission: to eliminate every barrier to mental 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 equips over 800 companies, from start-ups to multinational Fortune 500 corporations, as a leading and preferred mental health service. Companies like J.P. Morgan Chase & Co., Microsoft, J.B. Hunt, Bumble, and Instacart use the Spring Health platform to provide mental health services to thousands of their team members globally. We have raised over $370 million from prominent investors including Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership, our current valuation has reached $2.5 billion.

We are looking for a Senior Data Scientist to join our Pricing and Value Experimentation (PAVE) team . In this role you will build and enhance data products that inform our pricing strategy and reinforce the value proposition of our newest mental health programs. 

What you’ll be doing: 

• Drive the development of innovative data products that demonstrate the value of Spring’s newest programs to customers.
• Build models and simulations to forecast operational, clinical, and financial performance of Spring programs, in order to inform pricing strategy and set customer expectations.
• Analyze data across all aspects of the member mental health journey to show our customers the value of their investment and provide them with actionable insights on how to further improve member wellbeing.

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.
• You have exceptional analytical creativity and are an expert at designing analyses that will enrich a qualitative story.
• You have a degree in a STEM-related field and at least 5 years of commercial experience in a data science role.
• You are proficient in Python and SQL.
• You have developed predictive models to solve business problems and deployed them in production.
• You are energized by impact; you’re obsessed with outcomes irrespective of whether they are achieved by ML models or spreadsheets.
• Bonus points for previous healthcare experience working with employers and/or payers.
• You are humble, highly motivated, and thrive in fast-paced environments.

Why you’ll like working at Spring Health

• High caliber team: make an impact on something that truly helps people alongside an incredible team
• Big mission: we're revolutionizing the mental health industry
• Big market and big upside in sales: Our product has strong product-market fit in a huge market with strong demand
• The challenge: make a big impact by joining a fast-growing team in its early stages
• We care about diversity: diversity allows us to build an excellent patient experience. We are an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

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.

The target base salary range for this position is $159,100 - $194,150, and is part of a competitive total rewards package including stock options, benefits, and incentive pay for eligible roles. 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 at minimum to ensure competitive and fair pay.

Don’t meet every requirement? Studies have shown that women,