Automation that moves everyone forward.
Zapier is on a mission to make automation work for everyone. With Zapier, you can integrate apps like Salesforce, Intuit, Google, and Dropbox, to move data between them automatically, so you can focus on your most important work.
We’re 100% remote with teammates spanning 40 countries around the world. We’re hiring!
Try for free today: http://ow.ly/lVAV50K0KqN
Automation that moves everyone forward.
Zapier is on a mission to make automation work for everyone. With Zapier, you can integrate apps like Salesforce, Intuit, Google, and Dropbox, to move data between them automatically, so you can focus on your most important work.
We’re 100% remote with teammates spanning 40 countries around the world. We’re hiring!
Try for free today: http://ow.ly/lVAV50K0KqN
What they do: Remote-first automation platform that connects apps and automates workflows
Scale: Connects ~8,000 apps and serves millions of businesses
Founded: 2012
Team: Remote workforce across ~40 countries
Funding (known): Seed announced $1.2M in 2012; documented multiple rounds
Related Companies
Company
HQ
Industry
Total Funding
Proxima
🇺🇸US
AdvertisingData and AnalyticsDeepTechInformation TechnologySales and MarketingSoftware
$12M
Peec AI
🇩🇪DE
Data and AnalyticsDeepTechInformation TechnologySales and MarketingSoftware
-
Orum 🥇
🇺🇸US
Data and AnalyticsDeepTechInformation TechnologySoftware
-
Inworld AI
🇺🇸US
Data and AnalyticsDeepTechGamingHardwareInformation TechnologySoftware
$117M
Fastrak AI
🇺🇸US
Information TechnologySoftware
-
Company Overview
Problem Domain
Workflow automation and app integration to eliminate manual data transfer between web applications.
Founded
2012
Industry
Software Development
Funding Track Record
Seed- 2012-10-31
1200000
Seed round announced Oct 31, 2012; other named investors included Draper Fisher Jurvetson and angel investors
Founders
What we do
Join the Team
Senior Data Scientist
RemoteRemote (UK, Canada, Europe, US)
Remote • Remote (UK, Canada, Europe, US)
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
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
Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.
Machine Learning Engineer
Part-timeAmsterdam, NL
Part-time • Amsterdam, NL
Software Engineer
ContractHamburg, DE
Contract • Hamburg, DE
AI Researcher
InternshipTel Aviv
Internship • Tel Aviv
Product Designer
InternshipRotterdam, NL
Internship • Rotterdam, NL
AI Researcher
InternshipBelgrade, RS
Internship • Belgrade, RS
DevOps Engineer
InternshipSan Francisco, US
Internship • San Francisco, US
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
