We’re hiring a Customer Data Scientist to partner closely with our Customer Success team 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 $127,000-$203,000 OTE, 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
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