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Commercial Data Scientist

DoximitySan Francisco, CA or Remote (U.S.)Data
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Salary
$119,333 - $172,800
Job type
Full-time
Work mode
Remote
Experience
Senior · 4+ yrs
Posted
29 Sept 2026
Status
Open · checked 7d ago

About this role

Analytical professionals who thrive on uncovering hidden patterns in complex datasets will find a natural fit within the Client Intelligence team at Doximity. Operating at the intersection of clinical AI and commercial strategy, this group builds data products that help over eighty-five percent of American physicians manage their workflows more efficiently.

Team members collaborate closely with product, engineering, and sales stakeholders to deliver client-facing insights derived from extensive healthcare datasets. Responsibilities involve designing and training production machine learning models, writing advanced SQL queries, and automating code for future projects. This function exists to drive data-informed decision making across client organizations while supporting the overarching mission of clinician productivity.

What you will do

  • Deliver novel and impactful insights for client organizations using machine learning and artificial intelligence technologies.
  • Collaborate closely with product, platform data, insights and strategy, and sales teams to create client-facing analyses.
  • Showcase engineering skills by creating data products from scratch and automating code for reuse by teammates and future projects.
  • Leverage extensive datasets to identify and classify behavioral patterns of medical professionals on the platform.
  • Embrace the challenges of a fast-paced environment to consistently exceed client expectations.

What you need

  • Hold at least four years of professional experience as a data scientist or in related roles working with complex, high-volume, structured and unstructured datasets.
  • Demonstrate prior experience in a data science consulting role at firms such as ZS, Trinity, IQVIA, or BlueMatter.
  • Possess advanced knowledge of statistical concepts including exploratory data analysis, experimental design, and probability theory.
  • Show a deep understanding of modern machine learning techniques and the ability to design, train, and evaluate large-scale production models.
  • Exhibit advanced SQL proficiency across multiple tables and data relationships alongside advanced Python skills including object-oriented programming.
  • Bring hands-on experience with distributed data processing tools and concepts for scalable analysis and model training.

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

Skills and tech stack

Questions candidates ask

Can this role be done remotely?

Yes, this position can be filled in the Northeast including New York, New Jersey, Philadelphia, and Boston, the San Francisco headquarters, or other remote locations across the United States.

What is the expected compensation range?

The anticipated total compensation for this role ranges from $119,333 to $172,800, depending on factors such as experience, skills, location, and internal equity.

What tools and technologies will I be working with?

The tech stack includes advanced Python and SQL, alongside frameworks like PyTorch and TensorFlow for designing, training, and evaluating large-scale production models.

Are AI tools used during the hiring process?

Doximity may use artificial intelligence enabled tools throughout the hiring process to help improve the candidate experience and support the recruiting team with administrative tasks. Human recruiters and hiring managers make all final hiring decisions.

Ready to apply?

The application is on the official Doximity careers page.

Apply on company site