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San Francisco, CA or Remote (U.S.)
Source: Doximity careers · View original posting
From Doximity's posting. “We” and “our” refer to the employer.
This role can be filled in our San Francisco headquarters OR remotely in the U.S.
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.
As a Data Scientist, you'll work within cross-functional delivery teams alongside other data scientists, engineers, and product managers in discovering data insights to help improve healthcare.
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.
At least
2 years of professional experience as a data analyst or a data scientist.
Knowledge of statistical concepts, especially exploratory data analysis techniques, and probability theory.
Excellent SQL skills to create and evaluate complex statements involving numerous tables and data relationships.
Excellent visualization and storytelling skills to explain your results and solutions to the stakeholders, clearly and compellingly.
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.
Prior exposure to distributed data processing concepts and execution (e.g., working with column stores, leveraging spark, etc.)
Fast learner; curiosity about and passion for data.
Compensation
The anticipated total compensation for this role is
$110,000 - $150,000, depending on factors such as experience, skills, location, and internal equity.
Our total compensation package may include:
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
Employer posted:
Posted over three months ago. Hiring can take months, so age alone is not a warning. If you are unsure, check the employer's careers page.
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