Data Scientist

<p><em><strong>This role can be filled in our San Francisco headquarters OR remotely in the U.S.</strong></em></p> <p>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. </p> <p>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.</p> <p><span style="font-weight: 400;">As a <strong>Data Scientist,</strong> you'll work within cross-functional delivery teams alongside other data scientists, engineers, and product managers in discovering data insights to help improve healthcare.</span></p> <p><strong>Here's How You Will Make an Impact</strong></p> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">Leverage Doximity's extensive datasets to identify and classify behavioral patterns of medical professionals on our platform.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Play a key role in creating both product and client-facing analytics.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Inform data team strategy by working with the product leaders and managers. Actively participate in execution and some planning of organizational data team strategy. </span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Collaborate with a team of product managers, analysts, and other developers to define and lead data projects from data ingestion to analysis to recommendations.</span></li> </ul> <p><strong>About you</strong></p> <ul> <li style="font-weight: 400;"><span style="text-decoration: underline;"><span style="font-weight: 400;">At least </span><strong>2</strong><span style="font-weight: 400;"> years of professional experience as a data analyst or a data scientist.</span></span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Knowledge of statistical concepts, especially exploratory data analysis techniques, and probability theory. </span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Excellent SQL skills to create and evaluate complex statements involving numerous tables and data relationships.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Excellent visualization and storytelling skills to explain your results and solutions to the stakeholders, clearly and compellingly.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">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.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Prior exposure to distributed data processing concepts and execution (e.g., working with column stores, leveraging spark, etc.)</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Fast learner; curiosity about and passion for data.</span></li> </ul> <p><strong>Compensation</strong></p> <p>The anticipated <em><strong>total compensation</strong></em> for this role is <span data-sheets-value="{"1":2,"2":"The US total compensation range for this full-time position is $RANGE (inclusive of salary + equity) Our ranges are determined by role and level. The range displayed on each job posting reflects the approximate total target compensation for the position across the US. Within the range, individual pay is determined by factors including relevant skills, experience, and education/training. Please note that the compensation listed does not include benefits. "}" data-sheets-userformat="{"2":14722,"4":{"1":2,"2":16773836},"10":2,"11":4,"14":{"1":2,"2":2105636},"15":"Roboto, Arial","16":12}" data-sheets-textstyleruns="{"1":0}{"1":63,"2":{"6":1}}{"1":69}">$110,000 - $150,000,</span> depending on factors such as experience, skills, location, and internal equity.</p> <p>Our total compensation package may include:</p> <ul> <li>Base salary</li> <li>Equity (where applicable)</li> <li>Annual bonus or incentive compensation (where applicable)</li> <li>Specific compensation details will be discussed during the interview process.</li> </ul> <p><strong>Benefits</strong></p> <p>In addition to competitive compensation, Doximity offers a comprehensive benefits package for full time employees. Some of our offerings include:</p> <ul> <li>Medical, dental, and vision insurance</li> <li>401(k) with company match</li> <li>Flexible paid time off and company holidays</li> <li>Paid parental leave</li> <li>Professional development and learning opportunities</li> <li>Wellness and mental health resources</li> <li>Remote work support and home office stipend (where applicable)</li> </ul> <p><strong>Why You'll Love Working Here</strong></p> <p>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