Baton Corporation is hiring a

Web3 Product Data Scientist

Who Are We

Baton Corporation is the development company that builds and operates the entire technology stack behind pump.fun, the largest memecoin launchpad in production today. The systems are low latency, high throughput, live under constant load, and break if you get them wrong.

What You'll Do

We're seeking an experienced, versatile Data Scientist who thrives in a fast-paced environment. In this role, you'll have the freedom to identify opportunities, design and implement solutions, and measure their impact across our product. You'll collaborate with cross-functional teams while maintaining ownership of your projects from conception to completion.

• Design, run, and analyse A/B tests to optimise our consumer product experience

• Proactively identify problems and opportunities through data analysis

• Build and maintain dashboards to track key metrics and visualise insights

• Develop models to understand user behaviour and predict outcomes

• Collaborate with product and engineering teams to implement data-driven solutions

• Drive projects independently from problem identification through solution implementation

• Communicate complex findings clearly to technical and non-technical stakeholders

• Help establish data best practices and methodologies

Who You Are

• 3+ years of data science experience at a startup, scale-up, or FAANG/equivalent company

• Proficiency with Python/R and SQL/BigQuery

• Strong experience designing, running, and analysing A/B tests on consumer products

• Demonstrated ability to work autonomously, managing entire projects from ideation to implementation

• Experience translating data insights into actionable recommendations

• Excellent communication skills, with the ability to present complex findings clearly

Preferred Qualifications

• Experience with cryptocurrency and blockchain data

• Strong data visualisation skills (esp. Omni/Looker)

• Experience working with event tracking data

• Advanced knowledge of statistical methods and causal inference

• Experience building and maintaining data pipelines (esp. Dagster, DBT)

• Familiarity with Machine Learning methods and applications

• Experience in consumer tech products or fintech

What it's like to work here

• We work in person

• Hours can be long and unconventional

• The pace is intense

• Expectations are high, and impact is immediate

• Working at Baton is not for everyone

Why Join Us?

• Unmatched ownership and autonomy

• Exposure to systems operating at the edge of crypto scale

• The ability to ship fast and see real-world impact immediately

If you’re motivated by responsibility, speed, and building products used by massive audiences, you’ll feel at home here.