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Doximity

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Doximity

Data Scientist

Doximity is hiring a full-time Data Scientist for a remote position or based out of its San Francisco headquarters. The company operates a clinical AI network…

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Role Snapshot

Hiring Now
Work arrangement
Remote
Where applicants may be
Applicants in United States only
Salary
USD 110,000 - 150,000/yr
Apply by
Not specified
Employment type
Full-time
Experience
Not specified
Added to Jobsiz2h agoEmployer posted Nov 2, 2026
Listing Views2
Applications0
Apply BeforeNo deadline

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About This Role

Doximity is hiring a full-time Data Scientist for a remote position or based out of its San Francisco headquarters. The company operates a clinical AI network used by a large majority of United States physicians and numerous health systems, with the goal of improving clinician productivity and patient care. As part of a cross-functional delivery team, the selected candidate will work alongside product managers, analysts, and other engineers to discover…

Job Description

Doximity is hiring a full-time Data Scientist for a remote position or based out of its San Francisco headquarters. The company operates a clinical AI network used by a large majority of United States physicians and numerous health systems, with the goal of improving clinician productivity and patient care.

As part of a cross-functional delivery team, the selected candidate will work alongside product managers, analysts, and other engineers to discover data insights and shape organizational strategy. Responsibilities include analyzing professional behavioral patterns, developing client and product analytics, and guiding data projects from ingestion to recommendations.

This role suits professionals with background in data analysis or data science, strong SQL proficiency, and familiarity with Python data libraries. Doximity provides a comprehensive compensation and benefits package, including medical coverage, a retirement plan with matching, flexible paid time off, and parental leave.

Responsibilities

  • Analyze and categorize behavioral patterns of medical professionals on the platform using extensive datasets
  • Develop client-facing and product analytics
  • Contribute to the execution and planning of the organizational data team strategy
  • Partner with product leaders, managers, and analysts to guide data projects from ingestion to final recommendations

Requirements

  • At least two years of professional experience working as a data scientist or data analyst
  • Understanding of statistical concepts, probability theory, and exploratory data analysis methods
  • Strong SQL abilities for constructing and evaluating complex statements across multiple tables and data relationships
  • Proficiency in Python data analysis tools like Pandas and Numpy
  • Familiarity with object-oriented programming concepts in Python
  • Previous exposure to distributed data processing execution and concepts

Core Skills

Benefits

  • Medical, dental, and vision insurance
  • 401(k) plan 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

Frequently Asked Questions

Answers are based only on the employer’s listing; where it doesn’t say, neither do we.

What is the salary for the Data Scientist position at Doximity?

The anticipated total compensation ranges from $110,000 to $150,000 per year, which may include base salary, equity, and annual bonuses depending on various factors.

Where is this job located?

This position can be performed remotely within the United States or out of the Doximity headquarters in San Francisco.

What level of experience is required?

Applicants must have a minimum of two years of professional working experience as a data scientist or data analyst.

Sample Interview Questions

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Posted by Doximity

Source: Jobicy

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Posted by employer: Nov 2, 2026

Added to Jobsiz: Nov 6, 2026

The description was written by Jobsiz from the employer’s listing. Always check the original listing before applying.

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