Senior Data Scientist

Senior Data Scientist Location: Remote within the United States 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 over a million healthcare professionals and ultimately improve patient care.