Commercial Data Scientist

About Doximity

Doximity is a clinical AI company serving the largest network of U.S. clinicians. Its AI-powered workflow platform is trusted by over 85% of U.S. physicians and more than 300 health systems. Its mission is to help clinicians be more productive so they can provide better care.

Role and Location

As a Commercial Data Scientist, you will work in cross-functional delivery teams with analysts, engineers, and commercial stakeholders to discover insights that improve healthcare.

The preferred location is the Northeast, including New York, New Jersey, Philadelphia, and Boston. The role can also be based at the San Francisco headquarters or remotely elsewhere in the United States. Visa sponsorship is not available.

Responsibilities

• Deliver novel, impactful insights for client organizations using machine learning and AI technologies.
• Collaborate with Product, Platform Data, Insights & Strategy, and Sales teams on client-facing analyses.
• Build data products from scratch and automate reusable code for teammates and future projects.
• Use Doximity's extensive datasets to identify and classify medical professionals' behavioral patterns on the platform.
• Work in a fast-paced environment to exceed client expectations.

Qualifications

• At least 4 years of professional experience as a Data Scientist or in related roles working with complex, high-volume structured and unstructured datasets.
• Prior data science consulting experience at firms such as ZS, Trinity, IQVIA, or BlueMatter, with demonstrated success in a fast-paced environment.
• Advanced knowledge of statistics, 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, including writing and optimizing complex queries across multiple tables and data relationships.
• Advanced Python skills, including 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, translating technical insights into clear narratives for internal and client stakeholders.
• Curiosity, fast learning, passion for data, and a commitment to continuous learning and keeping current with machine learning research.

Team Culture

The Client Intelligence team values collaboration, supporting teammates' growth, data-driven decision-making, reliability, initiative, curiosity, and respect. The team works with extensive healthcare datasets and enjoys company outings, team lunches, and other social events.

Compensation

The anticipated total compensation range is $119,333–$172,800, depending on experience, skills, location, and internal equity. This is a total compensation range, not a separately stated base salary range. The package may include base salary, equity where applicable, and an annual bonus or incentive compensation where applicable. Specific details will be discussed during interviews.

Benefits

Benefits for full-time employees include:

• 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 a home office stipend where applicable.

Hiring Process

Doximity may use AI-enabled tools for scheduling, communication, interview coordination, note-taking, and summarizing interview feedback. Human recruiters and hiring managers make all hiring decisions.

Candidates needing reasonable accommodation during the application or interview process may request support.