[Hiring] Senior Data Scientist @Doximity

Role Description

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.

Qualifications

• 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.

Requirements

• Compensation: The anticipated total compensation for this role is $130,000 - $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

• 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)