About this role
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 c