Senior Data Scientist, Customer Reporting
Spring HealthSan Francisco, CA (Hybrid)$18k – $223kPosted 26 March 2026
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.
We are looking for a Senior Data Scientist I to join the Customer Reporting team. Reporting to the Director of Data Science and partnering with Product and Customer Success, you will be responsible for building data products that enable our customers to understand the impact Spring Health is creating for their organization. This role will work closely with our customers and internal teams to discover and scale data narratives that highlight how we are delivering exceptional care while eliminating barriers to mental health.
This is a full-time, hybrid role based in Spring’s San Francisco hub at 2 Embarcadero Center, with an expectation to be in the office 2 to 3 days per week. Periodic travel of up to 25% is expected for team collaboration and company events. If you are passionate about using data to create meaningful impact and thrive in a dynamic, customer-focused environment, we would love to hear from you.
What you’ll do:
Inform how we refine the Customer Experience Product Roadmap to pursue innovative AI/ML capabilities that give our customers their “WOW” moment
Be part of a team of innovative Data Scientists building the analytics story that demonstrates Spring Health's value to customers
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
Provide thought leadership in how we evolve our customer data story
What success looks like:
Customers and internal stakeholders are highly satisfied with the quality of work produced
Customers and internal stakeholders trust the data provided to them; reports and data sets are reviewed for data consistency and data quality
Requests are completed in a timely manner while still prioritizing a high standard of quality
You have worked with a partnering Product Manager to implement additional AI/ML capabilities into our products
You demonstrate ownership and expertise of measurement domains for specific products
Bring ideas forward that help us innovate our customer experience products and deepen our customer data story
What you’ll bring:
You have a degree in a STEM-related field and 5+ years working experience as a Data Scientist
You are an expert in advanced SQL and are proficient in Python
You have developed predictive models to solve business problems and deployed them in production
You have hands-on experience building pipelines in dbt and developing end-to-end in Looker (or other data visualization platform)
You are humble, highly motivated, and thrive in fast-paced envi ... (truncated, view full listing at source)
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