[All remote jobs](https://jobicy.com/jobs.md)[![Doximity logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/e71c16d6-221.jpg)](https://jobicy.com/company/doximity.md)[Doximity](https://jobicy.com/company/doximity.md) # Commercial Data Scientist Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/doximity.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 119,333–172,800 / yrDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentFull TimeExperienceOpen levelPublished6 Oct 2026Apply before5 Nov 2026Listing views36Application actions3Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Doximity is seeking a Commercial Data Scientist to develop client-facing insights and reusable data products from large healthcare datasets. The role combines advanced statistical analysis, machine learning, SQL, Python engineering, and data storytelling for commercial and client stakeholders. Candidates need at least four years of relevant data science experience, ideally in a fast-paced healthcare or life-sciences consulting environment. The position requires hands-on production modeling capability with frameworks such as PyTorch or TensorFlow, scalable distributed processing, and strong cross-functional collaboration. It is available in specified Northeast and San Francisco locations or remotely within the United States. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 4/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 4/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a technically demanding mid-to-senior data science role requiring production-grade machine learning, advanced SQL, scalable data processing, and rigorous statistical expertise. Its commercial consulting focus adds pressure to deliver clear, timely, client-ready recommendations in a fast-paced environment. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianMarket rate$146,067US market range$125k–$185k0$204k AI insightThe disclosed anticipated total compensation range is $119,333 to $172,800 USD, with a midpoint of $146,066.50. For a U.S.-based Commercial Data Scientist with 4+ years of experience, healthcare-data exposure, production ML skills, and client-facing responsibilities, an estimated broader market range is approximately $125,000 to $185,000 USD annually. The disclosed offer is broadly competitive within this market range; total compensation may include base salary, equity, and annual incentive compensation. ## Core skills Skills and capabilities most closely associated with this opportunity. [Machine Learning](https://jobicy.com/jobs?search_keywords=Machine%20Learning.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[PyTorch](https://jobicy.com/jobs?search_keywords=PyTorch.md)[TensorFlow](https://jobicy.com/jobs?search_keywords=TensorFlow.md)[Statistical Analysis](https://jobicy.com/jobs?search_keywords=Statistical%20Analysis.md)[Experimental Design](https://jobicy.com/jobs?search_keywords=Experimental%20Design.md)[Data Visualization](https://jobicy.com/jobs?search_keywords=Data%20Visualization.md)[Healthcare Analytics](https://jobicy.com/jobs?search_keywords=Healthcare%20Analytics.md)[Stakeholder Management](https://jobicy.com/jobs?search_keywords=Stakeholder%20Management.md) Sample interview questionsDescribe a machine learning model you moved from exploration into a production-ready workflow.I would explain the business objective, data preparation, feature design, model selection, and evaluation metrics, then describe how I packaged the workflow into reusable code. I would also cover monitoring, validation, documentation, and how I ensured stakeholders could use the output confidently. How would you approach identifying meaningful behavioral patterns among healthcare professionals from a large platform dataset? I would first clarify the commercial or client decision the analysis should support, define the relevant population and outcomes, and assess data quality. I would use exploratory analysis and segmentation or classification methods, validate findings with appropriate statistical tests, and communicate the resulting patterns with clear visualizations and practical recommendations. Tell us about a time you translated a complex technical result for a nontechnical client or commercial stakeholder. I would start with the stakeholder's decision and present the key conclusion before discussing methodology. I would use simple visuals, explain uncertainty and limitations plainly, and connect each insight to a recommended action, confirming that the audience understood the implications. What practices do you use to optimize complex SQL queries on high-volume, multi-table datasets? I review the query plan, restrict data early, select only required columns, use appropriate joins and aggregations, and verify partitioning or indexing strategies where available. I also test query logic on smaller samples, check for duplicate-generating joins, and document assumptions so results remain reproducible. How would you evaluate whether a client-facing analysis or model is reliable enough to deliver? I would validate source-data quality, test assumptions, use holdout or cross-validation methods where appropriate, and compare results against baseline approaches and domain expectations. Before delivery, I would perform peer review, quantify uncertainty, document limitations, and ensure recommendations remain supported by the evidence. Opportunity details ## About this role. ### Commercial Data Scientist 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. This role can be filled in the Northeast (New York, NJ, Philadelphia, Boston), our San Francisco headquarters, OR other remote locations in the U.S. 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: * Deliver novel and impactful insights for client organizations using machine learning and AI technologies. * Work closely with our Product, Platform Data, Insights & Strategy, and Sales teams to create client-facing analyses. * Showcase your engineering skills by creating data products from scratch and automating code so they can be re-used by other teammates and future projects. * Leverage Doximity’s extensive datasets to identify and classify behavioral patterns of medical professionals on our platform. * Embrace the challenge of a fast-paced environment to exceed client expectations 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. * Collaboration—The best candidates and teammates are not only strong in their own aptitudes but care deeply about supporting each other’s growth. * Passion for Data—You’re going to help our clients and team members with data-driven decision making. We need someone that can manipulate millions of rows of data and also ask the right questions to find the important insights. * Reliability – Our team is efficient, flexible, and agile only because we trust the reliability of each member. We need self-starters and goal-oriented individuals for our continued success. * Curiosity – Continuous learning is a cornerstone at Doximity, and curious individuals thrive in our environment. We’re looking for someone who is curious enough about data to go above-and-beyond the task for the true insight. * Respect – A key dynamic that allows our team to flourish is respect: for ourselves and our quality of work, for our teammates, and for our internal clients who are under the pressure of deadlines and finance goals. About you: * At least 4 years of professional experience as a Data Scientist or other related roles working with complex, high-volume, structured and unstructured datasets. * Prior experience in a data science consulting role at firms such as ZS, Trinity, IQVIA, BlueMatter, etc., where you thrived in a fast-paced environment * Advanced knowledge of statistical concepts — particularly exploratory data analysis, experimental design, and probability theory. * Deep understanding of modern machine learning techniques * Proven ability to design, train, and evaluate large-scale production models using frameworks such as PyTorch or TensorFlow. * Advanced SQL proficiency — skilled at writing and optimizing complex queries across multiple tables and data relationships. * Advanced Python skills, including understanding of object-oriented programming, production-grade code design, and modern data science libraries. * Hands-on experience with distributed data processing tools and concepts for scalable analysis and model training. * Excellent data visualization and storytelling abilities, with the capacity to translate technical insights into clear, compelling narratives for internal and client stakeholders. * Curious, fast learner with a demonstrated passion for data, continuous learning, and staying current with advances in machine learning research. Fun Facts About the Client Intelligence team * We have access to one of the richest healthcare datasets in the world, with deep information on hundreds of thousands of clinicians and their connections. * Business decisions at Doximity are driven by our data, analyses, and insights. * The members of our team bring a diverse set of technical and cultural backgrounds. * We like to have fun – company outings, team lunches, and other social events! 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: * 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. 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