Staff Data Scientist

Posted 9 Days Ago
Easy Apply
New York, NY
177K-239K Annually
Expert/Leader
Healthtech • Information Technology • Software • Telehealth
The Role
As a Principal Data Scientist at Zocdoc, you will lead the Search team to enhance their Provider Recommendation System using machine learning algorithms. You will analyze data, interpret results, collaborate with various business partners, and mentor junior data scientists to drive strategic data initiatives in healthcare.
Summary Generated by Built In

Our Mission

Healthcare should work for patients, but it doesn’t. In their time of need, they call down outdated insurance directories. Then wait on hold. Then wait weeks for the privilege of a visit. Then wait in a room solely designed for waiting. Then wait for a surprise bill. In any other consumer industry, the companies delivering such a poor customer experience would not survive. But in healthcare, patients lack market power. Which means they are expected to accept the unacceptable.


Zocdoc’s mission is to give power to the patient. To do that, we’ve built the leading healthcare marketplace that makes it easy to find and book in-person or virtual care in all 50 states, across +200 specialties and +12k insurance plans. By giving patients the ability to see and choose, we give them power. In doing so, we can make healthcare work like every other consumer sector, where businesses compete for customers, not the other way around. In time, this will drive quality up and prices down. 


We’re 17 years old and the leader in our space, but we are still just getting started. If you like solving important, complex problems alongside deeply thoughtful, driven, and collaborative teammates, read on.


Your Impact on our Mission

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.


You’ll enjoy this role if you are…

  • Passionate about leveraging data science to solve real world problems
  • ​​Passionate about communicating important data insights to business stakeholders stories that tell cohesive, logical stories about the value and uses of Data Science
  • A product-driven individual who loves working in a highly collaborative and supportive environment
  • Motivated by building products that make healthcare easier
  • An individual who enjoys leading and mentoring data scientists 


Your day to day is…

  • 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


You’ll be successful in this role if you have…     

  • 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
  • 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




Zocdoc is committed to fair and equitable compensation practices. Salary ranges are determined through alignment with market data. Base salary offered is determined by a number of factors including the candidate’s experience, qualifications, and skills. Certain positions are also eligible for variable pay and/or equity; your recruiter will discuss the full compensation package details.

NYC Base Salary Range

$177,000$239,000 USD

About us
Zocdoc is the country’s leading digital health marketplace that helps patients easily find and book the care they need. Each month, millions of patients use our free service to find nearby, in-network providers, compare choices based on verified patient reviews, and instantly book in-person or video visits online. Providers participate in Zocdoc’s Marketplace to reach new patients to grow their practice, fill their last-minute openings, and deliver a better healthcare experience. Founded in 2007 with a mission to give power to the patient, our work each day in pursuit of that mission is guided by our six core values. Zocdoc is a private company backed by some of the world’s leading investors, and we believe we’re still only scratching the surface of what we plan to accomplish. 

Zocdoc is a mission-driven organization dedicated to building teams as diverse as the patients and providers we aim to serve. In the spirit of one of our core values - Together, Not Alone, we are a company that prides itself on being highly collaborative, and we believe that diverse perspectives, experiences and contributors make our community and our platform better.  We’re an equal opportunity employer committed to providing employees with a work environment free of discrimination and harassment. Applicants are considered for employment regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity, gender expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or any other class protected by applicable laws.
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Top Skills

Machine Learning

What the Team is Saying

Nick Finger
Kylie Sharp
Meaghan Fenton
Brandon LaRue
The Company
HQ: New York, NY
715 Employees
Hybrid Workplace
Year Founded: 2007

What We Do

Zocdoc is the tech company at the beginning of a better healthcare experience. Each month, millions of patients use Zocdoc to find in-network neighborhood doctors, instantly book appointments online, see what other real patients have to say, get reminders for upcoming appointments and preventive check-ups, fill out their paperwork online, and more.

Why Work With Us

Zocdoc's forward-thinking approach prioritizes collaboration, agility, and continuous learning in service of our long-term vision. This has helped us drive significant innovation in a complex, slow-moving industry, and our talented team is looking for impact-minded individuals to join us as we continue to re-imagine the healthcare experience.

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Zocdoc Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Our NYC office is accessible to all employees five days a week, though working in-office remains completely voluntary; everyone is invited but nobody is required to work in the office.

Typical time on-site: Not Specified
HQNew York, NY
Pune, IN
Learn more

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