Lead Data Scientist - GrowthBook (YC W22)｜Meet.jobs

About the jobAbout GrowthBook

At GrowthBook, we are building an open source feature flagging and A/B testing platform. If you love the data challenges faced by large tech companies, but want the ownership and flexibility of a small startup, then GrowthBook is for you.

We are a small team, distributed across the US, and backed by YCombinator and Khosla Ventures. We’re helping companies release code quickly and confidently while measuring the impact of what they launch.

As an open source company, we are focused on bottom-up adoption and building a product that engineers love to use. We have an amazing open source community on Slack that gives us constant feedback, feature requests, and ideas. GrowthBook is already used in production by hundreds of companies and we’re just getting started!

Some of the problems you’ll be working on

 

Variance Reduction. The faster users can run experiments and analyze results, the more they can improve their products. To that end, we want to provide accurate statistics with smaller sample sizes using variance reduction techniques such as CUPED.

A/B Testing Dataset. There is no publicly available dataset of high quality A/B test sample data. We want to change that by creating a dataset and publishing it on Kagle, where other data scientists can benefit from it (and contribute improvements).

Decision and Stopping Rules. Users in GrowthBook must determine themselves when to stop an experiment and which variation to declare a winner. These decisions are hard, especially for non-technical users, and there’s a big opportunity to provide smart recommendations backed by data.

 

Requirements

 

Expert in Python and SQL

Deep knowledge of both Bayesian and Frequentist statistics (and trade-offs between them)

Ability to clearly communicate complex topics and results to non-technical audiences

Fluent English and good communication skills

Startup experience or interest working in a small company

Bonus: Built or contributed to an A/B experimentation platform

Bonus: PhD in statistics or another data-heavy field

 

Benefits

 

Generous compensation and employee-friendly equity in a fast-growing early-stage well-funded startup

Unlimited time off 

Medical insurance including dental and vision (US)

Generous parental leave

Work-from-home stipend and IT budget

Remote-first company with regular off sites in exciting locations (once Covid allows us to safely travel again)