Statistics Engineer - Feature Flagging and Experimentation

We are looking for a Stats Engineering leader to help us build two new Datadog products from scratch—Feature Flags and Experiments. Our goal is to help developers and product teams ship features quickly, experiment as a second nature, and make decisions with confidence. To achieve this, we will build a world‑class experimentation engine backed by state‑of‑the‑art statistical methods like sequential analysis, CUPED, and change‑point detection.

Because there is often a technical, cultural, and linguistic gap between software engineers and statisticians, our Stats Engineers are unique in that they don’t squarely fall into data science or software engineering. They must understand statistical concepts and implement them in production with enterprise‑grade quality.

• Architect and implement the world‑class experimentation engine behind Datadog Experiments, supporting methods like sequential testing, CUPED, variance reduction, and more
• Bring rigor to experiment analysis at scale (e.g. through diagnostics, guardrails for safe shipping)
• Translate complex statistical methods into robust, production‑ready systems
• Work closely with Product, Design, and Engineering leadership to influence the direction of the product, on both a day‑to‑day and the big‑picture vision
• Educate engineers, leaders at Datadog, and our largest customers on statistical best practices, experiment design, and practical inference
• Help define standards and frameworks to make experimentation at Datadog trustworthy by default and fast by design

• You hold a PhD or equivalent experience in Statistics, Computer Science, Econometrics, or a related field, and have deep expertise in statistics, causal inference, or experimentation methods.
• You have a track record of shipping production‑grade software that solves real user problems.
• You understand the tradeoffs between statistical elegance and engineering complexity, and you know how to strategically make bets.
• You have strong software engineering fundamentals and can write clean, maintainable code.
• You can lead cross‑functionally— with Engineering, Product, Design, and business teams.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build—or eager to learn how.
• Bonus:
  You’ve built or worked on experimentation platforms at scale.
• You have demonstrated ability to use AI coding tools in day‑to‑day workflows and validate, critique, and refine AI‑generated output.
• Bonus:
  You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI‑enabled products.

• Build tools for engineers like yourself— we use our own products everyday to make decisions.
• Influence the experimentation and AI‑centric roadmap for Product Analytics, a budding, new sector for Datadog.
• Work with kind and knowledgeable teammates who are at the top of their craft and happy to collaborate, teach, and learn.
• Competitive global benefits.
• Continuous professional development.

The reasonably estimated yearly salary for this role at Datadog is $234,000—$300,000 USD.

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.