Commercial Data Scientist
Required skills
- AI
- machine learning
- PyTorch
- TensorFlow
- SQL
- Python
- object-oriented programming
- distributed data processing
- data visualization
- storytelling
Nice to have
- data science consulting
- ZS
- Trinity
- IQVIA
- BlueMatter
Role summary
Doximity, a leading clinical AI company, seeks a Commercial Data Scientist to join their cross-functional team. This role involves leveraging machine learning and AI to deliver insights for healthcare clients, working with extensive datasets to identify clinician behavior patterns. Responsibilities include creating data products, automating code, and translating technical findings into clear narratives. The position requires advanced knowledge of statistical concepts, machine learning techniques, SQL, and Python, with experience in production model development and distributed data processing. Prior experience in data science consulting is preferred. The role can be remote in the U.S. or based in the Northeast or San Francisco.
Location: This role can be filled, preferably, in the Northeast (New York, NJ, Philadelphia, Boston). Open to our San Francisco headquarters, OR other remote locations in the U.S.
Visa sponsorship is not available for this role.
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.
As a Commercial Data Scientist, you’ll work within cross-functional delivery teams alongside other analysts, engineers, and commercial stakeholders in discovering data insights to help improve healthcare.
How you’ll make an impact:
The Core Values of the Client Intelligence team
As an organization we value diversity - in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build a better future for all. Below are additional core values specific to the Insights Team.
About you:
Fun Facts About the Client Intelligence team
Compensation
The anticipated total compensation for this role is $119,333 - $172,800 depending on factors such as experience, skills, location, and internal equity.
Our total compensation package may include:
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:
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.
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.
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