Staff Data Scientist

ZocDoc - New York City, NY

Full-time - Senior

Hybrid - New York City, NY

Professional, Scientific, and Technical Services

About the position

We are looking for a Staff Data Scientist to join our Search team at Zocdoc to work on our core Search product offerings such as our patient facing Provider Recommendation System. Using a variety of machine learning algorithms, you will build and implement models to create algorithms, run simulations and test your results. We are looking for a statistically-minded individual who has the coding skills to independently work on data and interpret research outcomes to help shape the data science strategy. A close collaboration with business partners (including product, engineering, marketing and sales) will enable you to implement data-driven initiatives.

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 to drive conversion
• 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

Requirements

• 10+ years of experience performing data analysis and a Master's degree/PhD in statistics, math, physical sciences, computer science or other STEM related degrees
• 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

Nice-to-haves

• Bonus if you have a 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
• In office perks including:
• Catered lunch everyday along with snacks
• Commuter Benefits
• Convenient Soho location