Job description

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 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.

Requirements

Must-haves

Location: Remote within the United States or Canada
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
Equity (where applicable)
Specific compensation details will be discussed during the interview process.

Nice-to-haves

Annual bonus or incentive compensation (where applicable)

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningsqlpython

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave

Wellness

Professional Development