Data Scientist, Customer Experimentation

Key Skills

Analytical and Problem solving, Analytical Techniques, Data Engineering, Data science techniques, Experimentation, SQL, Statistics

Job Description

At Eppo, we are building the future of experimentation, so that every company can have an entrepreneurial, customer oriented culture.

Our next-gen feature flagging and experimentation platform allows data, product and ML teams to run 10x more experiments with existing infrastructure and headcount. We dramatically lower the overhead of running AB experiments by automating all of the experiment operations work, and wrapping the results in collaborative workflows.

Our team is made up of veteran product builders from Airbnb, Snowflake and Slack, and our product is powering experimentation at some of top companies around the world. We’ve raised over $19M in Seed and Series A funding backed by top-tier venture firms like Menlo VC and Amplify Partners.

About the Role

We’re hiring a Customer Data Scientist to partner closely with our Customer Success Manager and support our customers in their experimentation journey. This is a technical role where you will shape how dozens of Eppo customers think about experimentation and help them get started with our platform and achieve long-term technical success. Individuals who excel at this job have the ability to think strategically and invest time in developing re-usable artifacts and best practices which are made available across all customers.

What you’ll do as a Data Scientist, Customer Experimentation:

• Own any post-sales activities related to onboarding, training and adoption implementation of the Eppo platform for new and existing customers
• Establish yourself as a trusted advisor to technical stakeholders and help solve their experimentation problems
• Be the first point of contact for high priority customers issues or questions related to Eppo’s technical architecture and usage
• Provide customers with best practices for integrations, develop playbooks for use cases and identify key onboarding & adoption patterns to speed time to value
• Advocate for customers internally by frequently providing customer feedback to the product team

Skills

What you’ll bring to the team:

• 4+ years of experience as a data scientist, solutions engineer, or solutions consultant
• Proficient at SQL and analytics engineering
• Foundational knowledge of statistics and experimentation
• Experience managing relationships with technical stakeholders
• Ability to own and quarterback technical customer asks
• Desired: You have run many online experiments or have worked on an experimentation platform before

Compensation

• Competitive salary and early team equity. The estimated salary range for this role is $150-$174K, 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