Statistics Engineer

Summary

Join Eppo as a Statistics Engineer and be at the forefront of defining the future of experimentation and causal inference. You will combine subject-matter expertise in statistics, experimentation, and causal inference with software engineering know-how to bring innovation to production. A keen product instinct is crucial, as you'll be making a difference for practitioners by building tools that empower a wide variety of users. We are seeking either a statistician who loves to code or an engineer who loves statistics, with 5+ years of experience in a data, SaaS, or similar technology company. The role demands an ownership mindset, a builder's mentality, and a commitment to constant learning. Eppo offers competitive compensation, including a salary range of $220,000-$265,000, and a comprehensive benefits package.

Requirements

• Have 5+ years of experience utilizing statistical skillset in a data, SaaS, or similar technology company
• Possess an ownership mindset: be comfortable making choices in ambiguous situations and consider team success/failure as your own
• Be a builder: want to implement research, finding joy in seeing ideas come alive
• Be a constant learner: always learning new techniques and unafraid to learn about tools and problems outside your traditional profile

Responsibilities

• Combine subject-matter expertise in statistics, experimentation, and causal inference to help Eppo build state-of-the-art methodology
• Bring innovation to production through software engineering know-how; collaborate with the engineering team to bring proposals to life
• Make a difference for practitioners by understanding their problems, solving them, and building tools that empower a wide variety of users
• Implement probabilistic techniques into reusable statistical libraries, including bootstrapping, statistical tests, and ML models/regressions
• Build data engineering pipelines to gather the necessary data inputs (sufficient statistics) for statistical techniques
• Architect APIs that enable other engineers to incorporate statistical techniques in front-end interfaces

Preferred Qualifications

Have a background as a statistician who loves to code or an engineer who loves statistics (broadly understood; background may be in data science, machine learning, quantitative social science, or any field using statistics)

Benefits

• Competitive Salary & Equity: Targeting the 75th percentile for all roles
• Growth & Autonomy: Small team, big impact—grow alongside us!
• Medical, Dental & Vision: 100% coverage for US based employees, 75% premium coverage for dependents
• 401(k): Available through Human Interest (no match right now)
• Learning & Development: $500 yearly for L&D resources
• Flexible PTO: We’re big fans of working hard and recharging when needed!
• Remote-First: A fully distributed workforce within the US and Europe
• Company Offsite: Our annual offsite for collaboration and team fun!
• Paid Parental Leave: 16 weeks for birth-parents, 12 weeks for non-birth parents