Senior Data Scientist, Zocdoc
Marketplace
$168-220k
2+ days a week in office (Soho, NY)
API connecting patients to doctors
Be an early applicant
API connecting patients to doctors
1001+ employees
Be an early applicant
$168-220k
2+ days a week in office (Soho, NY)
1001+ employees
Company mission
To give power to the patient by delivering the accessible, seamless, and simple experience patients expect and deserve.
Role
Who you are
- Success in this role requires sound analytical judgment and the ability to balance rigor, speed, and ambiguity, along with a strong foundation in technical execution and analytical craftsmanship
- Track record of independently executing end-to-end analyses to answer complex product and business questions, from problem framing through insight delivery
- Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, or a related discipline
- 3–6 years of experience in data science roles, or equivalent experience through applied industry or research work
- Strong understanding of statistical concepts, including experimentation, causal reasoning, and predictive modeling
- Expertise in SQL and advanced knowledge of an analytical programming language such as Python or R
- Experience owning end-to-end analytical workflows, including data validation, method selection, and result interpretation
- Ability to operate independently on moderately ambiguous problems and translate business questions into analytical approaches
- Strong written and verbal communication skills, with the ability to clearly explain analytical results, limitations, and implications
- Comfort providing feedback to peers and supporting the development of more junior data scientists
- Master’s degree or PhD in a quantitative field is a plus, but not required
What the job involves
- The Senior Data Scientist role on the Marketplace Insurance team exists to independently deliver rigorous, high-impact analyses that inform product and business decisions within Zocdoc’s core marketplace. As part of the Marketplace Analytics team, this role supports efforts to drive patient demand, optimize the search and booking experience, and maintain a healthy, high-performing two-sided marketplace
- In this role, you will focus on the Insurance product area, helping patients better understand their coverage—one of the most critical factors in successfully matching patients with providers. You will partner closely with Product, Engineering, Design, and cross-functional stakeholders to frame complex analytical problems, define how we measure patient understanding and success, and identify opportunities to reduce friction in insurance-related workflows
- You will own end-to-end execution of analyses and experiments, applying strong statistical and analytical methods to generate clear, defensible recommendations that guide product prioritization and strategy
- Select and apply appropriate analytical and statistical methods based on the decision context
- Design, execute, and analyze experiments end-to-end, evaluating experiment quality and clearly communicating results, limitations, and uncertainty
- Lead structured investigations into metric changes by identifying plausible drivers, prioritizing hypotheses, and defining focused analytical plans
- Define success, guardrail, and diagnostic metrics for features or initiatives within their domain, with alignment from senior stakeholders
- Partner with Product, Engineering, and Data Engineering to ensure measurement readiness, analytical QA, and correct interpretation of results
- Anticipate and surface data quality, instrumentation, or measurement issues that could materially affect conclusions, and work with partners to resolve them
- Communicate analytical findings and recommendations clearly to stakeholders, focusing on implications, tradeoffs, and next steps
- Document analytical context, methods, and decisions in a way that enables reuse and learning across the team
- Provide informal mentorship and guidance to Data Scientists, supporting their analytical development and quality of work
- Quality, rigor, and robustness of analytical outputs, as measured through review feedback and stakeholder trust in conclusions
- Effectiveness of analyses in informing product and business decisions, including clarity of recommendations and handling of uncertainty
- Reliability and timeliness of delivery across multiple concurrent analyses or projects
- Contribution to raising analytical quality within the team through feedback, review, and knowledge sharing
Our take
The healthcare system often runs on inefficiencies; patients call outdated directories, wait weeks for a visit to a professional and are often hit with surprise bills. Zocdoc was founded to streamline the fragmented healthcare experience by putting the patient first.
The platform allows millions of users each month to view open appointment times with doctors, book instantly online, read verified reviews, and keep up-to-date with checkups. The platform works for both in-person and virtual care – the latter of which has seen a substantial increase in demand. Zocdoc is one of the few companies tackling these problems in healthcare.
The company has solidified its position in the SaaS space, in part by forming partnerships with companies such as WellHive, a leader in digital care, to drive healthcare support for veterans. Moving forward, Zocdoc will continue to invest in its platform to optimise its services for its users.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
7% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Feb 2021
$150m
GROWTH EQUITY VC
Aug 2015
$130m
SERIES D
Total funding: $374m
Company benefits
- 100% paid employee health benefit options
- Vacation and parental leave packages
- Lunch and snacks on us (in-office)
- Cell phone reimbursement
- Corporate wellness programs with Headspace and Peloton
- Employer funded 401(k) match
Company HQ
SoHo, New York, NY
Leadership
Oliver Kharra
(Co-Founder & Co-Founder)Oliver trained as a doctor in Germany before moving into consulting where he worked for McKinsey. During his seven-year tenure at McKinsey & Co., Oliver developed and implemented new patient utilization models for the national health services of a number of governments and major hospital chains
Nick (Nikhil) Ganju
(Co-Founder & Chief AI Officer)Nick has extensive experience in product development, database management and site architecture. He was responsible for building the earliest iterations of ZocDoc and directly overseeing its development for many of its first years
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