Senior Data Scientist

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 ov