FewerJobs.
All jobs

Staff Statistics Engineer - Feature Flagging and Experimentation

Datadog - New York, New York, USA

Posted Aug 7, 2025

Benefits

Parental leave
Not verified
Non-birth-parent leave
Not verified
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
Not verified
Relocation assistance
Not verified
Childcare support
Not verified
Learning budget
Not verified
Verification
Not verified last checked Jun 13, 2026
Salary
Not verified not verified - source not recorded; timestamp not recorded
401(k) match
Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

Was this benefit information wrong? Tell us.

Schedule

Shift type
Not verified
Weekend work
Not verified

Application

Cover letter
Not verified
Assessment
Not verified
Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Staff Statistics Engineer - Feature Flagging and Experimentation New York, New York, USA The Opportunity We are looking for a Stats Engineering leader to help us build two new Datadog products from scratch - Feature Flags and Experiments. Our goal with these products is to help developers and product teams ship features quickly, experiment as second-nature, and make decisions with confidence. To do this, we need to build a world-class experimentation engine, backed by state-of-the-art statistical methods like sequential analysis, CUPED, and change point detection, which help to solve the big problems in the experimentation world of early peeking, long experiment durations, and catching bugs respectively. 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. Data scientists typically understand the concepts, but may struggle to implement them in production with enterprise grade quality. Software engineers know how to build robust production systems, but can get lost implementing methods that don't have off the shelf frameworks. Here, we need the rare breed of builder who understands statistical concepts and can implement them in production. Our experimentation platform will be used for root-cause analysis and decision-making across our 30,000+ customers of all shapes, sizes, and industries; we'll help customers run everything from e-commerce-focused A/B tests on user adoption to infrastructure-based canary deployments in real-time to root cause major incidents, and connect the dots together across the worlds of the

Read the full description at careers.datadoghq.com. FewerJobs shows a source-linked preview and links to the original posting.

Apply at careers.datadoghq.com

Apply link verified; last checked Jun 13, 2026.

What verified means

Verified means a displayed claim has a recorded source field, a source URL when available, and a timestamp showing when FewerJobs checked or enriched the evidence.

Related jobs