[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) # 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 110k–150k / yrDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentFull TimeExperienceSeniorPublished2 Nov 2026Apply before2 Dec 2026Listing views28Application actions1Application 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 hiring a Data Scientist to identify behavioral patterns in clinician-platform data and turn findings into product and client-facing analytics. The role partners closely with product managers, analysts, engineers, and data scientists to lead projects from ingestion through recommendations. Key technical requirements include advanced SQL, Python with Pandas and NumPy, statistical analysis, visualization, and exposure to distributed processing such as Spark and column stores. This is a full-time US-remote-eligible position with a healthcare-focused, cross-functional product analytics scope. ## 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 insightThe role requires independent end-to-end analytical delivery across complex datasets, statistical rigor, and distributed-data exposure. It also demands strong stakeholder storytelling because recommendations influence product and client-facing decisions. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Highly competitive$130,000US market range (per year)$110k–$150k0$165k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses anticipated total compensation of $110,000–$150,000 USD. The posting does not state a pay cadence, so yearly compensation is inferred from the amount, US location, full-time context, and professional Data Scientist role. The midpoint is $130,000 per year; an estimated US market range for this level is $110,000–$150,000 per year. ## Core skills Skills and capabilities most closely associated with this opportunity. [SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Pandas](https://jobicy.com/jobs?search_keywords=Pandas.md)[NumPy](https://jobicy.com/jobs?search_keywords=NumPy.md)[Statistical analysis](https://jobicy.com/jobs?search_keywords=Statistical%20analysis.md)[Exploratory data analysis](https://jobicy.com/jobs?search_keywords=Exploratory%20data%20analysis.md)[Probability theory](https://jobicy.com/jobs?search_keywords=Probability%20theory.md)[Data visualization](https://jobicy.com/jobs?search_keywords=Data%20visualization.md)[Data storytelling](https://jobicy.com/jobs?search_keywords=Data%20storytelling.md)[Spark](https://jobicy.com/jobs?search_keywords=Spark.md)[Distributed data processing](https://jobicy.com/jobs?search_keywords=Distributed%20data%20processing.md)[Columnar databases](https://jobicy.com/jobs?search_keywords=Columnar%20databases.md)[Product analytics](https://jobicy.com/jobs?search_keywords=Product%20analytics.md)[Stakeholder management](https://jobicy.com/jobs?search_keywords=Stakeholder%20management.md) Sample interview questionsHow would you approach identifying behavioral patterns among medical professionals using a large product dataset?I would first define the business question and relevant user cohorts, then validate event definitions and data quality. I would use exploratory analysis, segmentation, and statistical testing to identify meaningful patterns, quantify their impact, and clearly document limitations. Finally, I would translate the results into product hypotheses and recommend follow-up measurement. Describe how you would optimize a complex SQL query joining many large tables. I would inspect the query plan, reduce the data scanned early through selective filters and required columns only, and verify join keys and join cardinality. I would consider pre-aggregation, partition-aware filtering, and appropriate indexes or clustered keys depending on the warehouse. I would validate that optimization preserves the intended business logic by comparing results against a trusted baseline. How do you communicate a statistically nuanced result to a nontechnical product stakeholder? I begin with the decision the stakeholder needs to make, state the key finding in plain language, and use a simple visual to show scale and uncertainty. I explain assumptions, practical impact, and limitations without overwhelming the audience with methodology. I then provide a clear recommendation and identify what additional data or experiment would increase confidence. What steps would you take to ensure an analysis is reliable before it is used for a product decision? I would validate source data, check for missingness and anomalies, reconcile key metrics with existing reporting, and peer-review the SQL or Python code. I would test sensitivity to major assumptions, distinguish correlation from causation, and document definitions and limitations. Before presenting, I would confirm that the analysis directly answers the product question and can be reproduced. Tell us how you would use Python and distributed processing tools for a dataset that no longer fits comfortably in memory. I would use Python for prototyping, validation, and local exploration on representative samples, while moving production-scale transformations to a distributed engine such as Spark. I would minimize data movement, select only necessary columns, partition work appropriately, and avoid expensive operations such as unnecessary wide shuffles. I would validate distributed outputs against sampled local results and package the workflow for repeatable execution. Opportunity details ## About this role. This role can be filled in our San Francisco headquarters OR remotely in the U.S. 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 Data Scientist, you’ll work within cross-functional delivery teams alongside other data scientists, engineers, and product managers in discovering data insights to help improve healthcare. 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 2 years of professional experience as a data analyst or a data scientist. * Knowledge of statistical concepts, especially exploratory data analysis techniques, and probability theory. * Excellent SQL skills to create and evaluate complex statements involving numerous tables and data relationships. * Excellent visualization and storytelling skills to explain your results and solutions to the stakeholders, clearly and compellingly. * Proficient in using Python data analysis libraries such as Pandas and Numpy. Also has a basic understanding of the object-oriented programming concepts as it relates to Python. * Prior exposure to distributed data processing concepts and execution (e.g., working with column stores, leveraging spark, etc.) * Fast learner; curiosity about and passion for data. Compensation The anticipated total compensation for this role is $110,000 – $150,000, 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. 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