Senior Data Scientist, Payment Integrity (Remote)

Point32Health; Canton (MA); Hybrid; USD 130,000 - 194,000; Full time

Benefits offered by this job

Medical coverage

Retirement plans

Paid time off

Tuition program

Job summary

Point32Health, Inc. is seeking a Sr Data Scientist to deliver innovative, data-driven solutions using high-dimensional data analysis and AI-powered technologies. This role translates complex data into strategic recommendations and develops analytics products addressing healthcare costs and quality.

Responsibilities include leading projects, mentoring staff, and ensuring governance. The position requires a Master’s degree and 8–10 years of experience with ML, statistics, and cloud platforms.

Qualifications

• Master’s degree in data science or related field.
• 8–10 years of data science experience.
• Experience with ML, statistics, and SAS/SQL.

Responsibilities

• Design, develop and orchestrate experiments, models, algorithms, and visualizations.
• Lead multiple projects and communicate results to non-technical audiences.
• Translate business needs into analytical questions.
• Apply ML, NLP and statistical methods to drive insights and cost optimizations.
• Scale data analyses and model deployment with automated processes.
• Mentor juniors and uphold governance and ethics.

Skills

Python programming

ML algorithms

Data analysis

Communication

Agile

Cloud knowledge

Strategic thinking

Mentorship

Lean thinking

Decision making

Education

Master’s degree in data science or related field

Tools

SAS

SQL

Excel

PowerPoint

Azure

AWS

Google Cloud

Job description

Point32Health, Inc. is seeking a Sr Data Scientist to deliver innovative, data-driven solutions using high-dimensional data analysis and AI-powered technologies. This role translates complex data into strategic recommendations and develops analytics products addressing healthcare costs and quality.

Responsibilities include leading projects, mentoring staff, and ensuring governance. The position requires a Master’s degree and 8–10 years of experience with ML, statistics, and cloud platforms.