Data Scientist, Clinical Analytics

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're looking for someone with quantitative experience combined with a commitment to making data accessible and interesting to business stakeholders. You’ll work closely with product and operational teams to deeply understand Spring Health’s provider strategy and operational needs. You’ll then take that expertise and collaborate with product, engineering, data science and IT colleagues to build new analytics tools (reports, dashboards, etc.) to support growth and operational priorities. This position will report to the Associate Director of Data Science

What you’ll be doing:

• Work closely with product managers, clinical, and operational teams to deeply understand Spring Health’s provider strategy and operational priorities. You will then take that expertise and collaborate with product, engineering, data science, and IT colleagues to build new analytics tools (reports, dashboards, etc.) to support those priorities. 
• Build and maintain intuitive, and actionable reports, visualizations, and dashboards using Looker, Salesforce, Zendesk, and other tools
• Collaborate closely with the Provider Operations team to gather and analyze data, trends, and insights that can improve the efficiency and effectiveness of network management and service delivery
• Provide analytical support for Provider Operations and Customer Success stakeholders for ad-hoc analyses and ongoing improvement work
• Conduct regular audits of provider data to ensure completeness, consistency, and accuracy
• Collaborate with Data Science, Business Intelligence, Engineering and Product teams to maintain and improve current data sharing workflows, design new data-driven solutions, and prepare for new product launches

What we expect from you:

• 2-3 years of proven experience as a Data Scientist, Data Analyst, or Analytics Engineer in a healthcare, logistics, network management or service delivery context
• Proficiency in python, SQL, and dbt for cleaning, manipulating, and analyzing complex data sets 
• Experience with data visualization tools (e.g., Looker, Sisense) to create insightful and actionable dashboards and reports tailored to business needs
• Ability to work directly with a data warehouse like redshift or snowflake, and build data models using tools like dbt and SQL
• Excellent analytical and problem-solving skills with the ability to quickly understand the scope of a problem, gather requirements, translate that to an action plan, and execute in close partnership with stakeholders
• Strong communication and interpersonal skills to effectively collaborate with mental health professionals, stakeholders, and present data findings in a sensitive and informative manner
• Ability to thrive in a startup environment, being adaptable, proactive, and innovative in finding data-driven solutions for the mental health tech industry
• Knowledge of HIPAA regulations and data privacy considerations related to mental health data and familiarity with mental health-specific data sources, such as electronic health records (EHRs) and mental health billing and claims data. a plus

The target salary range for this position is $120,000-150,250, 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, communities of color and historically underrepresented talent are less likely to apply to jobs unless they meet every single qualification. At Spring Health