Commercial Data Scientist

Summary

Doximity is a clinical AI company with a large network of U.S. clinicians and an AI-powered healthcare workflow platform. The Commercial Data Scientist will deliver client-facing insights using machine learning and AI, collaborate with cross-functional teams, build reusable data products, and analyze clinician behavioral patterns.

Responsibilities

• Deliver novel and impactful insights for client organizations using machine learning and AI technologies
• Work closely with our Product, Platform Data, Insights & Strategy, and Sales teams to create client-facing analyses
• Showcase your engineering skills by creating data products from scratch and automating code so they can be re-used by other teammates and future projects
• Leverage Doximity's extensive datasets to identify and classify behavioral patterns of medical professionals on our platform
• Embrace the challenge of a fast-paced environment to exceed client expectations

Skills

• At least **4 years** of professional experience as a Data Scientist or other related roles working with complex, high-volume, structured and unstructured datasets
• Prior experience in a data science consulting role at firms such as ZS, Trinity, IQVIA, BlueMatter, etc., where you thrived in a fast-paced environment
• Advanced knowledge of statistical concepts — particularly exploratory data analysis, experimental design, and probability theory
• Deep understanding of modern machine learning techniques
• Proven ability to design, train, and evaluate large-scale production models using frameworks such as PyTorch or TensorFlow
• Advanced SQL proficiency — skilled at writing and optimizing complex queries across multiple tables and data relationships
• Advanced Python skills, including understanding of object-oriented programming, production-grade code design, and modern data science libraries
• Hands-on experience with distributed data processing tools and concepts for scalable analysis and model training
• Excellent data visualization and storytelling abilities, with the capacity to translate technical insights into clear, compelling narratives for internal and client stakeholders
• Curious, fast learner with a demonstrated passion for data, continuous learning, and staying current with advances in machine learning research

Qualifications

Must Haves

• At least **4 years** of professional experience as a Data Scientist or other related roles working with complex, high-volume, structured and unstructured datasets
• Prior experience in a data science consulting role at firms such as ZS, Trinity, IQVIA, BlueMatter, etc., where you thrived in a fast-paced environment
• Advanced knowledge of statistical concepts — particularly exploratory data analysis, experimental design, and probability theory
• Deep understanding of modern machine learning techniques
• Proven ability to design, train, and evaluate large-scale production models using frameworks such as PyTorch or TensorFlow
• Advanced SQL proficiency — skilled at writing and optimizing complex queries across multiple tables and data relationships
• Advanced Python skills, including understanding of object-oriented programming, production-grade code design, and modern data science libraries
• Hands-on experience with distributed data processing tools and concepts for scalable analysis and model training
• Excellent data visualization and storytelling abilities, with the capacity to translate technical insights into clear, compelling narratives for internal and client stakeholders
• Curious, fast learner with a demonstrated passion for data, continuous learning, and staying current with advances in machine learning research

Benefits

• Medical, dental, and vision insurance
• 401(k) with company match
• Flexible paid time off and company holidays
• Paid parental leave
• Professional development and learning opportunities
• Wellness and mental health resources
• Remote work support and home office stipend (where applicable)