Healthcare Data Scientist: AI Insights for Clients (Remote)

Zim Directory; San Francisco (CA); Remote; USD 119,000 - 173,000; Full time

Benefits offered by this job

Remote work stipend

Home office stipend

Professional development

Job summary

Doximity, the leading clinical AI company, is seeking a Commercial Data Scientist to uncover insights from large healthcare datasets and build client-facing analyses. You will collaborate with product, platform data, and sales teams to deliver data-driven outcomes.

Bring 4+ years of data science experience, strong ML skills (PyTorch, TensorFlow), and expert SQL/Python capabilities to design production models and data products for a fast-paced environment.

Qualifications

• At least 4 years of professional experience as a Data Scientist or related roles with large datasets.
• Experience in data science consulting firms and fast-paced environments is a plus.
• Advanced knowledge of statistical concepts and modern ML techniques.
• Experience designing, training, and evaluating production ML models.
• Advanced SQL and Python programming.
• Experience with distributed data processing tools.
• Strong data visualization and storytelling skills.

Responsibilities

• Deliver novel insights for client organizations using ML/AI.
• Collaborate with Product, Platform Data, Insights & Strategy, and Sales teams.
• Build data products and automate code for reuse across projects.
• Leverage large healthcare datasets to identify behavioral patterns.
• Work in a fast-paced setting to exceed client expectations.

Skills

Machine Learning

SQL

Python

Distributed Processing

Data Visualization

Statistical Concepts

PyTorch

TensorFlow

Tools

PyTorch

TensorFlow

Job description

Doximity, the leading clinical AI company, is seeking a Commercial Data Scientist to uncover insights from large healthcare datasets and build client-facing analyses. You will collaborate with product, platform data, and sales teams to deliver data-driven outcomes.

Bring 4+ years of data science experience, strong ML skills (PyTorch, TensorFlow), and expert SQL/Python capabilities to design production models and data products for a fast-paced environment.