Data Scientist
Clinical Analytics
Posted on 8/29/2023
Spring Health

1,001-5,000 employees

Personalized mental healthcare
Company Overview
Spring Health's mission is to eliminate barriers to mental health.
AI & Machine Learning
Data & Analytics

Company Stage


Total Funding





New York, New York

Growth & Insights

6 month growth


1 year growth


2 year growth

Experience Level
Desired Skills
Data Analysis
Data Science
Data & Analytics
  • 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
  • You get to be surrounded by some of the brightest minds in the field
  • You get to learn and grow at an extremely accelerated pace
  • You will experience transparency, integrity, & humility from leadership
  • You will be empowered to constantly challenge the status quo
  • You get the space to experiment & innovate
  • You get to make a transformational impact for the company, mental health, and for real human lives - and you will see that impact quickly
  • You will become more resourceful and resilient
  • You get to be part of a winning team that opens doors in the future
  • Flexible work arrangements: 60% of Spring Health team members work fully remote while 40% work in a hybrid model from our New York City offices
  • Focus Fridays: no meetings, no distractions, just time for you to get work done
  • Focus Weeks: In Spring 2023, we held our first ever Focus Week, we canceled all non-essential meetings, minimized distractions, and you, our team members, to dive into the key work that gets chopped up or deprioritized during the regular day-to-day. We saw a 36% jump in the average energized score after those five days of flow state work and are finalizing a plan for quarterly Focus Weeks for team members
  • Up to $1,000 Professional Development Reimbursement per calendar year
  • $200 per year donation matching to support your favorite causes
  • 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