Who you are

• 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

What the job involves

• Zapier is hiring Senior Data Scientists to join our growing Data team and support two high-impact areas of the business: Enterprise (Upmarket), and Ecosystem
• While each domain has its own focus, all roles share a common goal — to design and deliver data products and insights that accelerate decision-making, power intelligent features, and enable both internal teams and customers to move faster with confidence
• As a Senior Data Scientist at Zapier, you won’t just analyze data, you’ll help build the systems and tools that turn insight into action
• From designing lead scoring models and partner intelligence systems to tracking integration performance or delivering customer-facing usage analytics, your work will shape how we understand our users, optimize our operations, and scale our go-to-market strategies
• You’ll collaborate closely with cross-functional stakeholders in Product, Sales, Marketing, Success, and Finance, partnering with Data Warehouse Engineers to create scalable, reusable pipelines and analytical frameworks
• In some cases, your work will feed into the product itself, helping Zapier users make smarter decisions, automate faster, and get more value from the platform
• Whether you're guiding how Zapier scales its enterprise motion, enriching our app ecosystem, or informing financial and GTM strategies, you’ll play a critical role in translating data into durable business leverage
• This is a high-impact opportunity for someone who blends technical excellence, product thinking, and a passion for building AI-informed, insight-driven systems that create lasting value at scale
• 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

The application process

• Deadline to Apply: August 22, 2025 at 4:00 AM UTC

Benefits

• Work from anywhere
• Bonus program
• Unlimited vacation policy
• Great healthcare + dental + vision coverage*
• Retirement plan with company match*
• Stock options for every Zapien**
• 2 annual company retreats to awesome places
• 14 weeks paid leave for new parents
• Home office setup stipend
• Professional development allowance