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
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- 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.
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- 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 link verified; last checked Jun 13, 2026.
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