We're humans who simply think computers should do more work.
At Zapier, we’re not just making software—we’re building a platform to help millions of businesses globally scale with automation and AI. Our mission is to make automation work for everyone by delivering products that delight our customers. You’ll collaborate with brilliant people, use the latest tools, and leverage the flexibility of remote work. Your work will directly fuel our customers’ success, and as they grow, so will you.
Job Posted: July 21, 2025 (Updated October 10, 2025)
Location: Americas (North, Central and South America), EMEA (Europe, the Middle East and Africa)
Hi there!
Zapier is hiring a Senior Data Scientist to join our growing Data team and help shape the future of our Ecosystem — the nearly 8,000 app connections and partner network that make Zapier the world’s most connected AI orchestration platform.
As a Senior Data Scientist at Zapier, you won’t just analyze data — you’ll build the systems and tools that turn insight into action. From designing partner intelligence models and ecosystem health frameworks to surfacing insights that drive adoption and enablement, your work will directly influence how Zapier strengthens its app network and empowers users to automate more with less friction.
You’ll collaborate closely with cross-functional partners in Product, Engineering, Partnerships, and Growth, working alongside Data Warehouse Engineers to create scalable, reusable pipelines and analytical frameworks. Some of your work will directly power the product — enabling smarter recommendations, self-healing automations, and personalized partner experiences.
This is a high-impact opportunity for someone who blends technical excellence, product thinking, and creativity to build data products that support both internal decision-making and external-facing systems. You’ll help Zapier evolve from serving data as a service, to building intelligent, AI-informed data products that scale value across the ecosystem.
Our philosophy for hiring
Our Commitment to Applicants
Culture and Values at Zapier
Zapier Guide to Remote Work
Zapier Code of Conduct
Diversity and Inclusivity at Zapier
You’re technically fluent and hands-on. You bring senior-level experience—typically 5+ years—in data science or a related analytical role. You write production-grade Python (or R), write high-quality SQL, and design robust experiments and ML models that drive real-world impact. You’ve built systems that are as scalable as they are insightful.
You think like a product builder. You design data products and models that don’t just explain what happened—they change what happens next. You thrive in ownership-heavy environments and approach problems like a PM: proactively ideating, prioritizing for impact, designing with users in mind, and iterating quickly.
You’re fluent in AI and automation. You’re actively using modern AI tools (e.g. LLMs, AutoML, orchestration frameworks) to accelerate your workflows and solve new types of problems. You’re not just curious—you’re hands-on.
You care deeply about quality and clarity. 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 build for scale and enablement. You help teams define and own their KPIs, build self-serve dashboards, and use data to make better decisions faster. You create systems and documentation that make insight accessible—not just available.
You value collaboration and knowledge sharing. 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 to elevate your peers with what you’ve learned.
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; identifying business risks and opportunities through attribution data; understanding which customers benefit most from Upmarket offerings; and figuring out how to boost Upmarket’s contribution to revenue generation.
Ensure all teams 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. For the heavier lifts, you’ll be supported by Data Warehouse Engineering colleagues.
Work with tools such as SQL, Looker, dbt, Databricks, Airflow, Eppo, and Python or R.
At Zapier, we believe that diverse perspectives and experiences make us better, which is why we have a non-standard application process designed to promote inclusion and equity. We're looking for the best fit for each of our roles, regardless of the type of companies in your background, so we encourage you to apply even if your skills and experiences don’t exactly match the job description. All we ask is that you answer a few in-depth questions in our application that would typically be asked at the start of an interview process. This helps speed things up by letting us get to know you and your skillset a bit better right out of the gate. Please be sure to answer each question; the resume and CV fields are optional.
Education is not a requirement for our roles; however, if you receive an offer, you will need to include your most recent educational experience as part of our background check process.
After you apply, you are going to hear back from us—even if we don’t see an immediate fit with our team. In fact, throughout the process, we strive to never go more than seven days without letting you know the status of your application. We know we’ll make mistakes from time to time, so if you ever have questions about where you stand or about the process, just ask your recruiter!
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 and in line with our commitment to Diversity, Inclusion, Belonging and Equity. Our code of conduct provides a beacon for the kind of company we strive to be, and we celebrate our differences because those differences are what allow us to make a product that serves a global user base. Zapier will consider all qualified applicants, including those with criminal histories, consistent with applicable laws.
Zapier prioritizes the security of our customers' information and is dedicated to adhering to all applicable data privacy laws. You can review our privacy policy here.
Zapier is committed to inclusion. As part of this commitment, Zapier welcomes applications from individuals with disabilities and will work to provide reasonable accommodations. If reasonable accommodations are needed to participate in the job application or interview process, please contact [email protected].
