Zocdoc

Data Scientist

• Leading experimentation and analytical strategy across product, growth, monetization, marketing, and operational initiatives, often simultaneously
• Applying causal inference methodologies (difference-in-differences, synthetic controls, propensity methods, Bayesian experimentation) to real business questions where traditional A/B testing may not be feasible
• Partnering directly with directors and senior leaders to frame complex, cross-functional challenges and translate findings into clear recommendations that drive action
• Improving experimentation frameworks, metrics strategy, and analytical rigor across teams — developing scalable approaches for measurement, segmentation, forecasting, and incrementality
• Influencing roadmap prioritization and business strategy through rigorous analysis and precise communication of tradeoffs and uncertainty
• Mentoring and upskilling data scientists and analysts across the organization on experimentation, causal inference, and statistical best practices
• Partnering with Engineering, Product, and ML teams on instrumentation, data infrastructure, and analytics tooling
• Integrating generative AI tools into daily workflows to automate tasks, foster innovation, and maximize analytical productivity

Staff Data Scientist, Marketplace Analytics

Data Engineer

• Architecting and improving orchestration, monitoring, and data reliability systems.
• Defining modeling, semantic layer, and governance standards across teams.
• Optimizing warehouse performance and reducing compute spend.
• Implementing secure access controls and strengthening compliance practices.
• Partnering with Engineering to improve upstream data quality and contracts.
• Leading cross-functional initiatives that modernize and future-proof Zocdoc’s data platform.
• Mentoring engineers and guiding architectural decisions.

Senior Staff Engineer, Data Platform

Full-stack Engineer

• Architecting and building core backend services, APIs, and data infrastructure that power Zocdoc’s next-generation search platform.
• Redesigning how provider, availability, and content data is ingested and flows through indexing pipelines into search and ML systems.
• Designing and optimizing low-latency query paths across our tier-1 search service, vector search infrastructure, and cross-encoder ranking systems.
• Integrating ML model serving, embedding generation, and ranking signals into production backend services through scalable, observable patterns.
• Driving architectural direction and setting engineering standards across the Search Services organization through design docs, technical deep dives, and high-signal code reviews.
• Mentoring engineers on backend best practices, distributed systems design, API architecture, and technical decision-making.
• Building robust observability into backend services—measuring, debugging, and improving performance, reliability, and data freshness across the entire search stack.

Staff Software Engineer, Search

Engineer

• Full ownership of solution design for high-impact partner use cases including scheduling, booking, and provider configuration.
• Serving as the technical lead during implementations to define success criteria and cutover strategies.
• Building and fostering relationships with partners by creating high-quality prototypes and POCs that de-risk adoption.
• Staying abreast of latest developments in EHR capabilities and healthcare interoperability.
• Working with cutting edge GenAI tools and technology.
• Mentoring Partner Engineers and partnering with Business Development on standardized handoff patterns.

Senior Partner Engineer

Platform Engineer

• Defining and evolving data contract standards across the company, including schema enforcement, versioning, and validation patterns.
• Designing interoperable ingestion and publishing frameworks that enable upstream producers (e.g., product engineering teams) to integrate seamlessly with the data platform.
• Building and standardizing APIs, libraries, or SDKs that simplify event logging, schema validation, and contract compliance.
• Establishing best practices for schema registry usage and distributed schema validation across streaming and batch systems (e.g., Kafka-based systems).
• Designing clear patterns for:
• When to use the data lake vs. the warehouse
• How curated layers are exposed
• How downstream consumers access data safely
• Leading reverse ETL and activation architecture to support operational use cases.
• Defining and enforcing access control, governance, and compliance standards (e.g., PHI/PII handling, DEID boundaries, RBAC).
• Partnering with Product Engineering, Security, Compliance, Analytics Engineering, and Infrastructure to align on standards and long-term direction.
• Mentoring engineers and influencing engineering culture around data quality, ownership, and contracts.
• Driving adoption of AI-assisted development practices (e.g., cloud-based coding environments, internal AI tooling, or agentic workflows) to accelerate platform delivery.
• Designing guardrails for AI access to data systems, including scoped permissions, auditing, and compliance-aware controls.
• Partnering with product and AI teams to ensure our data contracts, schemas, and curated layers are AI-consumable and safe by default.
• Evaluating how internal data platform assets can power AI use cases and intelligent automation across the company.

Zocdoc

Staff Data Scientist, Marketplace Analytics

Senior Staff Engineer, Data Platform

Staff Software Engineer, Search

Senior Partner Engineer

Staff Data Platform Engineer

Staff Software Engineer, Data Platform