Commercial Data Scientist: AI-Powered Healthcare Insights

Doximity; Salem (OR); Remote; USD 110,000 - 160,000; Full time

Job summary

Doximity is seeking a Commercial Data Scientist to turn large, complex healthcare datasets into client-facing insights using ML and AI. This role can be filled in the Northeast, our San Francisco HQ, or other remote locations in the U.S., offering wide flexibility for a data-driven professional.

You will work with cross-functional teams to deliver analyses, build data products, and scale production models using modern ML frameworks, SQL, and Python in a fast-paced, remote-friendly environment.

Qualifications

• At least 4 years of professional data science experience with large datasets.
• Experience in data science consulting in fast-paced firms.
• Strong knowledge of exploratory data analysis, experiments, and probability.
• Deep understanding of modern machine learning techniques.
• Experience training and evaluating production ML models (PyTorch/TensorFlow).
• Advanced SQL across many tables and data relationships.
• Advanced Python and OO design in data science.

Responsibilities

• Deliver novel insights for client organizations using ML/AI technologies.
• Collaborate with Product, Platform Data, Insights & Strategy, and Sales to create client-facing analyses.
• Build data products from scratch and automate code for reuse.
• Leverage Doximity datasets to identify behavioral patterns of medical professionals.
• Work in a fast-paced environment to exceed client expectations.

Skills

4+ years experience

Data science consulting

Statistical concepts

Machine learning

Production ML models

SQL

Python

Tools

PyTorch

TensorFlow

Job description

Doximity is seeking a Commercial Data Scientist to turn large, complex healthcare datasets into client-facing insights using ML and AI. This role can be filled in the Northeast, our San Francisco HQ, or other remote locations in the U.S., offering wide flexibility for a data-driven professional.

You will work with cross-functional teams to deliver analyses, build data products, and scale production models using modern ML frameworks, SQL, and Python in a fast-paced, remote-friendly environment.