Senior Data Scientist, Member Experience

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 drive analytics efforts targeted at enhancing end user experience within Spring Health's software applications. You will be embedded in a product development team focusing on the member experience which ensures that Spring Health benefit-eligible employees receive care in the most appropriate and effective way for their mental health journey. In this role, you will help your team to uncover and prioritize new product opportunities and make impact across the entire initiative launch cycle—from data collection design to experimentation to synthesizing actionable learnings and influencing product strategy. 

What you’ll be doing:

• Conduct data analyses that influence the product strategy for improving the member experience. 
• Lead experimentation to help the product team reason about the impact their features are having on the member experience and make ship or iterate decisions.
• Collaborate with product, engineering, design, and UXR leads on defining key indicators of the quality of our member experience and uncovering opportunities to improve the user experience.
• Conduct product analytics on the user experience for payments and billing
• Build necessary data models to enable analytics and reporting, and partner with data engineering on best practices. 
• Lead prioritization and roadmapping discussions from a data science perspective
• Work with large datasets, clean and preprocess data efficiently, and perform feature engineering to extract meaningful insights and create metrics.
• Build compelling data visualizations for presenting insights to diverse stakeholders and making and maintaining dashboards for KPI tracking and reporting.
• Use appropriate advanced methods—including but not limited to predictive modeling, classification, clustering, time series, and dimensional modeling—to conduct deep-dive analyses into what drives member engagement.

What success looks like in this role: 

• Increasing member payment collection rate
• Launched MVP of company priority project by end of year.
• Developed strategic partnership with cross-functional team leads and influenced the product roadmap with data-informed recommendations. 

What we expect from you:

• 5+ years of professional data science experience
• Hands-on experience with experimentation and hypothesis testing
• Proficiency with SQL and Python
• Comfort with wrangling event log data 
• Experience with data modeling via dbt or similar tools
• Experience working with data visualization and BI tools
• Facility with a product development process in the context of a software product
• Excellent verbal and written communication skills to guide and make recommendations to technical and non-technical business partners
• Proven ability to proactively manage your own priorities and dependencies in alignment with cross-functional dependencies and business impact in a fast-paced environment
• Passion for successfully navigating ambiguous problem areas and learning new approaches
• Willingness to travel (at least 1 time per year) for collaborative sessions and summits with the team

What we’d love to see (bonus):

• Several years experience building and maintaining data pipelines with dbt
• Experience with tools in our stack, especially: Hex, Looker, Mixpanel, and Snowflake. 

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 and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, an