
501 - 1000 employees
đ„ Healthcare
đŒ Consulting
đŠ Logistics
đ° Secondary Market on 2019-08
Healthcare âą Consulting âą Logistics
Doximity is a professional medical network for physicians that enables secure communication and collaboration among healthcare providers. With features such as HIPAA-compliant messaging, video calls, and telemedicine solutions, Doximity helps doctors and medical professionals connect with their patients efficiently and securely, streamlining their workflow and improving patient care. The platform serves as a comprehensive resource for medical professionals, offering news, research access, and a directory for networking.
đ„ 13 hours ago
đșđž United States â Remote
đ” $130k - $190k / year
â° Full Time
đ Senior
đ Data Scientist
đŠ H1B Visa Sponsor
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501 - 1000 employees
đ„ Healthcare
đŒ Consulting
đŠ Logistics
đ° Secondary Market on 2019-08
Healthcare âą Consulting âą Logistics
Doximity is a professional medical network for physicians that enables secure communication and collaboration among healthcare providers. With features such as HIPAA-compliant messaging, video calls, and telemedicine solutions, Doximity helps doctors and medical professionals connect with their patients efficiently and securely, streamlining their workflow and improving patient care. The platform serves as a comprehensive resource for medical professionals, offering news, research access, and a directory for networking.
âą Leverage Doximity's extensive datasets to identify and classify behavioral patterns of medical professionals on the platform âą Create product and client-facing analytics âą Inform data team strategy by working with product leaders and managers âą Participate in execution and some planning of organizational data team strategy âą Collaborate with product managers, analysts, and developers to define and lead data projects from data ingestion through analysis to recommendations
âą At least 4 years of professional experience as a data analyst or a data scientist âą Advanced knowledge of statistical concepts, especially exploratory data analysis techniques, and probability theory âą Some exposure to machine learning methods (regressors, classifiers, etc.) âą Advanced SQL skills to create and evaluate complex statements involving numerous tables and data relationships âą Proficient in Python and well versed in object-oriented programming concepts as it relates to data and Python âą Proficient in distributed data processing concepts and execution, including working with column stores and leveraging Spark âą Excellent visualization and storytelling skills to explain results and solutions to stakeholders clearly and compellingly
âą Medical, dental, and vision insurance âą 401(k) with company match âą Flexible paid time off and company holidays âą Paid parental leave âą Professional development and learning opportunities âą Wellness and mental health resources âą Remote work support and home office stipend (where applicable) âą Equity (where applicable) âą Annual bonus or incentive compensation (where applicable)
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