Senior Data Scientist — AI-Driven Care Platform (Remote)

Springhealth66; United States; Remote; USD 159,000 - 179,000; Full time

Benefits offered by this job

Health benefits

401(k) match

Parental leave

Professional development

Noom access

Fertility support

Wellbeing programs

Donation matching

Job summary

Spring Health is hiring a Senior Data Scientist to join our Advanced Analytics team, fully remote. You will lead analytical initiatives within the Care pod and drive data-driven improvements to Spring Practice.

You’ll apply AI, predictive modeling, and experimentation to boost engagement, improve provider matching, and optimize care coordination workflows. The role reports to the Manager, Data Science and requires collaboration across product, design, and engineering.

Qualifications

• 5+ years of professional data science experience.
• Hands-on experimentation and quasi-experimental methods.
• Proficiency with SQL and Python.
• Experience with data modeling via dbt.
• Experience working with data visualization and BI tools (Omni, Hex).
• Excellent verbal and written communication skills.
• Proven ability to incorporate AI as a tool to solve complex business problems.

Responsibilities

• Own end-to-end analytical strategy to improve engagement and outcomes for Spring Practice.
• Design rapid experiments, test designs, and analyze results to guide initiatives.
• Embed as a dedicated data scientist within the Care pod and align with product management and design.
• Work with large, multi-source datasets and collaborate with Analytic Engineer and Data Analyst.

Skills

SQL

Python

Experimentation

AI tooling

Prompt engineering

Data modeling

Communication

Prioritization

Ambiguity handling

Travel readiness

Tools

dbt

Omni

Hex

Job description

Spring Health is hiring a Senior Data Scientist to join our Advanced Analytics team, fully remote. You will lead analytical initiatives within the Care pod and drive data-driven improvements to Spring Practice.

You’ll apply AI, predictive modeling, and experimentation to boost engagement, improve provider matching, and optimize care coordination workflows. The role reports to the Manager, Data Science and requires collaboration across product, design, and engineering.