Principal Data Scientist
Posted on 7/19/2023
INACTIVE
Zocdoc

1,001-5,000 employees

Online marketplace for finding and booking healthcare appointments
Company Overview
Zocdoc is a leading healthcare tech company that prioritizes patient empowerment, offering a seamless online platform for finding in-network doctors, booking appointments, and accessing reviews. The company's competitive edge lies in its user-friendly interface, comprehensive services, and commitment to personalized care, as evidenced by their doctors' attentive approach to patient history and preventative plans. With its robust online presence across the United States, Zocdoc is redefining the healthcare experience by making it more accessible and patient-centered.

Company Stage

Series D

Total Funding

$376.8M

Founded

2007

Headquarters

New York, New York

Growth & Insights
Headcount

6 month growth

-2%

1 year growth

-4%

2 year growth

23%
Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
NoSQL
Data Science
SQL
Data Analysis
CategoriesNew
Data & Analytics
Requirements
  • Passionate about communicating important data insights to business stakeholders stories that tell cohesive, logical stories about the value and uses of Data Science
  • Personally motivated by leading impactful data science initiatives
  • The kind of person who enjoys leading and mentoring data scientists
  • 10+ years of experience performing data analysis and a Master's degree/PhD in statistics, math, physical sciences, or another quantitative discipline, economics, quantitative social sciences, political science
  • Proven experience on leading and implementing data science initiatives on a product using strong domain knowledge combined with data intuition to understand the most impactful opportunities
  • Ability to mentor other data scientists, increasing both technical data ability and business acumen
  • Expertise working with large, complex SQL and NoSQL database infrastructure
  • Solid understanding of statistics and common machine learning techniques
  • A strong perspective regarding data engineering and the most appropriate infrastructure to use (including trade-offs)
  • An understanding of the nuances and tradeoffs of different types of experiment design
Responsibilities
  • Working closely with our product team to build and iterate on user-facing features using data analytics and machine learning to optimize the results
  • Applying advanced statistical techniques to measure efficacy of various products, suggesting improvements to the products and our processes as you see them
  • Leading and mentoring a team of Data Scientists within the Search team, sharing your experience and expertise with others who are eager to learn
  • Identifying new opportunities within our company for future large impact data workstreams