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Zocdocposted 25 days ago
$176,000 - $264,000/Yr
Full-time • Senior
NY
Resume Match Score

About the position

Zocdoc is looking for a Senior Data Scientist to join our Search team to work on our core Search product offerings such as our patient facing Provider Recommendation System. The role involves using a variety of machine learning algorithms to build and implement models, create algorithms, run simulations, and test results. The ideal candidate will be statistically-minded with coding skills to independently work on data and interpret research outcomes, collaborating closely with business partners across product, engineering, marketing, and sales to implement data-driven initiatives.

Responsibilities

  • Work closely with the product team to build and iterate on user-facing features using data analytics and machine learning to optimize results and drive conversion.
  • Apply advanced statistical techniques to measure the efficacy of various products and suggest improvements.
  • Lead and mentor a team of Data Scientists within the Search team, sharing experience and expertise.
  • Collaborate with cross-functional teams to translate business needs into technical solutions and data-driven insights.
  • Develop and deploy machine learning models to improve the accuracy and relevance of search results.
  • Work with cutting-edge GenAI tools and technology.

Requirements

  • 10+ years of experience performing data analysis.
  • Master’s degree or PhD in statistics, math, physical sciences, computer science, or other STEM-related degrees.
  • Proven experience leading and implementing data science initiatives on a product.
  • Ability to mentor other data scientists.
  • Expertise working with large, complex SQL and NoSQL database infrastructure.
  • Solid understanding of statistics and common machine learning techniques.
  • Strong perspective regarding data engineering and appropriate infrastructure.
  • Understanding of the nuances and trade-offs of different types of experiment design.

Nice-to-haves

  • Strong understanding of learning to rank recommendation systems.

Benefits

  • Flexible, hybrid work environment.
  • Unlimited PTO.
  • 100% paid employee health benefit options.
  • Employer funded 401(k) match.
  • Corporate wellness programs with Headspace and Peloton.
  • Sabbatical leave for employees with 5+ years of service.
  • Competitive parental leave.
  • Cell phone reimbursement.
  • Catered lunch every day along with snacks.
  • Commuter Benefits.
  • Convenient Soho location.

Job Keywords

Hard Skills
  • Data Interpretation
  • Machine Learning
  • NoSQL
  • SQL
  • ZocDoc
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