Statistics Engineer

At Eppo, we are building the future of experimentation, so that every company can have an entrepreneurial, customer oriented culture. We believe that AB experiments uniquely put customers at the center of product decisions instead of political processes.

Our next-gen platform allows companies to 10x their volume of AB experiments by embracing the full technical rigor of engineering and statistics while focusing intensely on the evangelism of results and accessibility to business users. We are built for the modern cloud infrastructure, with easy integrations and an emphasis on privacy and security.

Our team is made up of veteran product builders from Airbnb, Slack, and Snowflake, and our product is powering experimentation at some of top companies around the world. We’ve raised over $47M funding backed by top-tier venture firms like Innovation Endeavors, Icon Ventures, Menlo VC, and Amplify Partners. See our Series B announcement here.

To learn more about our company culture, what to expect during the interview process, and what drives us here at Eppo, check out How We Work. You can also watch a demo of Eppo on our homepage and read more on our blog!

Note: There have been recent reports of fraudulent emails from people impersonating the Eppo talent team. All legitimate correspondence from Eppo will come only from geteppo.com. Anything else should be reported to LinkedIn as a scam. For more information on these fake job scams, you can see this resource from the FTC: https://consumer.ftc.gov/consumer-alerts/2023/08/scammers-impersonate-well-known-companies-recruit-fake-jobs-linkedin-and-other-job-platforms

About the role

As Statistics Engineer at Eppo, you will be at the forefront of defining what the future of experimentation and causal inference looks like. In this role, you will combine:

• Subject-matter expertise in statistics, experimentation, and causal inference that helps Eppo build state-of-the-art methodology

• Software engineering know-how that brings innovation to production. You will be an integral part of the engineering team: you do not want to hand-off your research, but rather collaborate with the team to bring your proposals to life

• Keen product instinct. This role is all about making a difference for practitioners. You understand their problems, are excited to solve them, and build tools that empower a wide-variety of users, not just the experts

At a high level, we are looking for one of two backgrounds:

1. A statistician* who loves to code

2. An engineer who loves statistics

*Understood broadly. Your specific background may be in data science, in machine learning, in a quantitative social science such as economics, or any other field that uses statistics at its core.

Concretely, we are looking for this combination of attributes and skills:

• Attributes

  • Ownership mindset: you are comfortable making choices in ambiguous situations, and think of the team's success and failure as your own

  • Builder: It isn't enough for you to research a topic, you want to implement it. Your joy comes from seeing an idea come alive, not writing a doc about it

  • Constant learner: You are always learning new techniques, and are unafraid to learn about tools and problems that don’t traditionally fit in your profile

• Skills

  • Able to implement probabilistic techniques into a reusable statistical libraries, including bootstrapping, statistical tests, and ML models / regressions

  • Can build data engineering pipelines to gather the necessary data inputs (sufficient statistics) for statistical techniques

  • Can architect APIs that enable other engineers to incorporate statistical techniques in front-end interfaces

• Competitive senior engineer salary and early stage equity. The estimated salary range for this role is $200,000-$225,000, depending on experience.

• Top of the line health, dental, and vision insurance

• New laptop/equipment of your choice and whatever else you need to be productive

• Compensation for learning materials, tools and resources to help you learn and grow