About this role
Leveraging extensive datasets to identify and classify behavioral patterns of medical professionals, the successful candidate will shape product and client-facing analytics while informing data team strategy. Doximity operates the leading clinical AI platform trusted by over eighty-five percent of U.S. physicians and hundreds of health systems, focusing on tools that help clinicians improve patient care. Working alongside product managers, analysts, and developers, the incoming data scientist will lead projects spanning from data ingestion to final recommendations.
This role exists to support a distributed engineering organization that values curiosity, ownership, and inclusion. Candidates who thrive here are fast learners with advanced statistical knowledge, strong Python programming capabilities, and the visualization skills needed to communicate complex results to stakeholders.
What you will do
- Leverage extensive company datasets to identify and classify the behavioral patterns of medical professionals on the platform.
- Play a key role in creating both product and client-facing analytics for the clinical AI platform.
- Inform data team strategy by working directly with product leaders and managers.
- Actively participate in the execution and planning of organizational data team strategy.
- Collaborate with product managers, analysts, and other developers to define and lead data projects from ingestion to analysis and recommendations.
What you need
- Hold at least four years of professional experience working as a data analyst or data scientist.
- Demonstrate advanced knowledge of statistical concepts, particularly exploratory data analysis techniques and probability theory.
- Bring some exposure to machine learning methods such as regressors and classifiers.
- Possess advanced SQL skills to create and evaluate complex statements involving numerous tables and data relationships.
- Demonstrate proficiency in Python, object-oriented programming concepts related to data, and distributed data processing principles like spark and column stores.
- Exhibit excellent visualization and storytelling skills to explain results and solutions compellingly to stakeholders.
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
What is the remote work policy for this role?
The position is available remotely within the United States. Doximity has worked as a distributed team for a long time and is currently about 65% distributed.
What is the anticipated compensation for the senior data scientist?
The anticipated total compensation for this role ranges from $130,000 to $190,000. Specific compensation depends on factors such as experience, skills, location, and internal equity.
What tools and technologies does the engineering team use?
The team uses UNIX command-line interfaces, standard programming tools like vim, emacs, and git, and manages over 350 private repositories in GitHub. They also utilize Python, SQL, and distributed data processing concepts like spark.
Are AI tools used during the hiring process?
Doximity may use artificial intelligence-enabled tools to help improve the candidate experience and support the recruiting team with administrative tasks. However, human recruiters and hiring managers make all hiring decisions.