Data Scientist - AI-Driven Healthcare Analytics

Empower Pharmacy; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Paid time off

401(k) matching

Wellness perks

IV therapy

Compounded medications

Job summary

Empower Pharmacy is expanding its Data Science team to translate enterprise data into trusted insights that drive growth and improve patient care. The Data Scientist will own end-to-end analytics in a regulated, fast-moving environment, leveraging AI to scale analyses and inform strategic decisions.

The role requires strong technical skills in Python, SQL, and modern data platforms, plus collaboration across cross-functional teams to deliver measurable business impact.

Qualifications

• Minimum 5 years with data science, statistics, or predictive modeling and measurable outcomes.
• Experience in regulated environments with privacy and documentation requirements.
• Ability to translate business questions into structured analyses.
• Strong communication with cross-functional partners and stakeholders.
• Experience with Python, SQL, experimentation, and AI-enabled analytics.

Responsibilities

• Analytical Ownership: Frame problems, prepare data, and develop models.
• Business Partnership: Deliver insights, design experiments, and support decisions.
• Regulated Excellence: Ensure quality controls, compliance, and process improvements.

Skills

Statistical modeling

Experimental design

Predictive analytics

Data visualization

Python

SQL

Communication

Regulatory compliance

Education

Bachelor's degree in quantitative field

Tools

Snowflake

AWS

Microsoft Azure

Job description

Empower Pharmacy is expanding its Data Science team to translate enterprise data into trusted insights that drive growth and improve patient care. The Data Scientist will own end-to-end analytics in a regulated, fast-moving environment, leveraging AI to scale analyses and inform strategic decisions.

The role requires strong technical skills in Python, SQL, and modern data platforms, plus collaboration across cross-functional teams to deliver measurable business impact.