Doximity

Senior Data Scientist

Canada, USA full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the role

Location: Remote within the United States or Canada

About Doximity

Doximity is the leading clinical AI company with the largest network of U.S. clinicians. Doximity’s AI-powered workflow platform is trusted by over 85% of U.S. physicians and 300+ health systems. Doximity's mission is to help clinicians be more productive so they can provide better care for their patients.

At Doximity, we value curiosity, ownership, inclusion, and a commitment to making a meaningful impact. If you're excited about solving complex problems that improve healthcare, we'd love to hear from you.

About Us

Here are some of the ways we bring value to doctors

Here is an introduction to our tech stack

We use UNIX command-line interface and standard programming tools (vim/emacs, git, etc.) and have over 350 private repositories in Github containing our applications, forks of gems, our own internal gems, and open-source projects

We have worked as a distributed team for a long time; we're currently about 65% distributed

Find out more information on the Doximity engineering blog

Our company core values

Our recruiting process

Our product development cycle

Our on-boarding & mentorship process

Here's How You Will Make an Impact

Leverage Doximity's extensive datasets to identify and classify behavioral patterns of medical professionals on our platform.

Play a key role in creating both product and client-facing analytics.

Inform data team strategy by working with the product leaders and managers. Actively participate in execution and some planning of organizational data team strategy.

Collaborate with a team of product managers, analysts, and other developers to define and lead data projects from data ingestion to analysis to recommendations.

About you

At least 4 years of professional experience as a data analyst or a data scientist.

Advanced knowledge of statistical concepts, especially exploratory data analysis techniques, and probability theory. Some exposure to machine learning methods (regressors, classifiers, etc.).

Advanced SQL skills to create and evaluate complex statements involving numerous tables and data relationships.

Proficient in Python and well versed in object-oriented programming concepts as it relates to data and Python.

Proficient in distributed data processing concepts and execution (e.g., working with column stores, leveraging spark, etc.)

Excellent visualization and storytelling skills to explain your results and solutions to the stakeholders, clearly and compellingly.

Fast learner; curiosity about and passion for data

Compensation

The anticipated total compensation for this role is $130,00 - $190,000, depending on factors such as experience, skills, location, and internal equity.

Our total compensation package may include:

Base salary

Equity (where applicable)

Annual bonus or incentive compensation (where applicable)

Specific compensation details will be discussed during the interview process.

Benefits

In addition to competitive compensation, Doximity offers a comprehensive benefits package for full time employees. Some of our offerings 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 home office stipend (where applicable)

Why You'll Love Working Here

At Doximity, you'll join a mission-driven company where your work has a meaningful impact on healthcare. We believe great ideas come from empowered teams, and we're committed to creating an environment where people can do their best work.

Make a real impact. Help build products that support over a million healthcare professionals and ultimately improve patient care.

Work with exceptional teammates. Collaborate with thoughtful, talented colleagues who value curiosity, humility, and continuous learning.

Enjoy flexibility and trust. We support flexible ways of working and empower employees with the autonomy to own their work.

Grow your career. Take on meaningful challenges, develop new skills, and shape your career through mentorship and professional development.

Bring your authentic self. We're committed to fostering an inclusive culture where diverse perspectives are welcomed, respected, and celebrated.

Our Hiring Process & AI Tools

Doximity may use artificial intelligence (AI)-enabled tools throughout the hiring process to help improve the candidate experience and support our recruiting team. These tools may assist with administrative tasks such as scheduling, general communication, interview coordination, note-taking, or summarizing interview feedback. Human recruiters and hiring managers make all hiring decisions. We are committed to using AI responsibly, transparently, and in accordance with applicable laws.

Equal Employment Opportunity

Doximity is proud to be an Equal Opportunity Employer. We are committed to creating an inclusive workplace where everyone can thrive. We consider all qualified applicants without regard to race, color, religion, creed, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, veteran status, genetic information, marital status, or any other characteristic protected by applicable federal, state, or local law.

If you require a reasonable accommodation during the application or interview process, please let us know so we can support your participation.

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT Content Writing Data Analysis MySQL Python Remote Collaboration Mid level

Likely questions

  1. Tell us about work you have done that is close to the Senior Data Scientist role.
  2. How would you approach your first 30 days at Doximity?
  3. Which of Content Writing, Data Analysis and MySQL have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Content Writing, Data Analysis and MySQL.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Senior Data Scientist role because I can bring practical experience in Content Writing, Data Analysis and MySQL, learn the team quickly, and contribute to the outcomes Doximity needs from this hire.

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