Data Scientist

Job not on LinkedIn

🕒 May 15

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

🚫👨‍🎓 No degree required

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 43%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Doximity

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

💰 Secondary Market on 2019-08

Healthcare • Consulting • 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.

📋 Description

• Leverage Doximity's extensive datasets to identify and classify behavioral patterns of medical professionals on the platform • Create product and client-facing analytics • Inform data team strategy by working with product leaders and managers • Participate in execution and some planning of organizational data team strategy • Collaborate with product managers, analysts, and developers to define and lead data projects from data ingestion through analysis to recommendations • Work within cross-functional delivery teams to discover data insights that improve healthcare

🎯 Requirements

• 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 • Proficient in Python data analysis libraries such as Pandas and Numpy • Basic understanding of object-oriented programming concepts as they relate to Python • Prior exposure to distributed data processing concepts and execution, such as working with column stores and leveraging Spark • Fast learner; curiosity about and passion for data

🏖️ Benefits

• Equity (where applicable) • Annual bonus or incentive compensation (where applicable) • 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) • Flexible ways of working • Mentorship and professional development • Inclusive workplace culture