Zapier is looking for a Senior Data Scientist to join our Data team, focusing on our Enterprise (Upmarket) and Ecosystem areas. You will design and deliver data products and insights that accelerate decision-making, power intelligent features, and enable both internal teams and customers. Your work will build systems that turn insight into action, shaping how we understand users, optimize operations, and scale go-to-market strategies.

What You'll Do

Build and deploy data products that serve both internal and external customers.
Develop scalable frameworks for efficiently deploying models and deriving actionable insights.
Analyze user behavior to identify and explain key drivers of outcomes such as activation, engagement, upgrades, and churn.
Collaborate with business teams to design, analyze, and interpret experiments aimed at improving key metrics.
Conduct proactive research into high-potential areas, including defining data-driven customer segments and success signals to dynamically shape the product experience.
Identify business risks and opportunities through attribution data.
Understand which customers benefit most from Upmarket offerings and figure out how to boost Upmarket’s contribution to revenue generation.
Ensure all teams have data-driven insights and can answer their own first-order questions.
Develop data literacy programs and provide easy-to-use tools with clear documentation, examples, and tutorials.
Perform basic ETL tasks to model new dimensions and facts in our data warehouse’s dimensional model.

What We're Looking For

5+ years of senior-level experience in data science or a related analytical role.
You write production-grade Python (or R).
You write high-quality SQL.
You design robust experiments and ML models that drive real-world impact.
You have built systems that are as scalable as they are insightful.
You think like a product builder, designing data products and models that change outcomes.
You thrive in ownership-heavy environments and approach problems like a product manager.
You actively use modern AI tools (e.g., LLMs, AutoML, orchestration frameworks) to accelerate workflows and solve new problems.
You hold a high bar for data instrumentation, statistical rigor, and communication.
You simplify complexity, document thoroughly, and collaborate across technical and non-technical partners in a remote-first environment.
You help teams define and own their KPIs, build self-serve dashboards, and use data to make better decisions faster.
You work effectively with teammates at all technical levels.
You take ownership of filling knowledge gaps about the data products you manage and contribute to comprehensive documentation.

Technical Stack

SQL, Looker, dbt, Databricks, Airflow, Eppo, Python, R

Team & Environment

You will collaborate closely with cross-functional stakeholders in Product, Sales, Marketing, Success, and Finance, partnering with Data Warehouse Engineers.

Work Mode

This is a global remote role open to candidates in the Americas (North, Central and South America) and EMEA (Europe, the Middle East and Africa).

Zapier is an equal-opportunity employer and we're excited to work with talented and empathetic people of all identities. Zapier does not discriminate based on someone's identity in any aspect of hiring or employment as required by law.