Staff Statistics Engineer - Feature Flagging and Experimentation | Datadog Careers

Datadog

Hybrid

Quick summary

Work type
Hybrid
Location
—
Salary
$234,000–$300,000 / yr
Posted
18 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $207k
This role $267k
$141k most similar roles pay here $317k

This role pays more than 85% of similar roles. Most pay $165,000–$249,750 — the shaded band above. At the midpoint, this role pays about $267k versus about $207k for comparable roles.

Based on 239 similar postings.

Employer

About Datadog

Datadog, Inc. is an American company that provides an observability service for cloud-scale applications, providing monitoring of servers, databases, tools, and services, through a SaaS-based data analytics platform.

Datadog currently has 130 open roles on FindRole.

Listed pay typically runs $187,000–$240,000 across 62 roles with salary data.

Most-posted roles

View all roles at Datadog

At a glance

TL;DR · Staff Statistics Engineer - Feature Flagging and Experimentation | Datadog Careers

Apply Now Log in to save

As a Stats Engineering leader at Datadog, you will join the Feature Flags and Experiments team to architect and implement a world-class experimentation engine using advanced statistical methods such as sequential analysis, CUPED, and change point detection. Your daily tasks include translating complex statistical concepts into robust production systems, ensuring experiment analysis rigor through diagnostics and guardrails, and educating internal teams and customers on best practices for experimentation. You will collaborate closely with Product, Design, and Engineering leadership to shape the product’s direction and define standards that make experimentation at Datadog trustworthy and efficient by default. Ideal candidates hold a PhD or equivalent experience in Statistics, Computer Science, Econometrics, or related fields, possess strong software engineering skills, and have a proven track record of shipping production-grade software. This role involves working with AI tools to enhance problem-solving and building an experimentation platform used across 30,000+ diverse customers for decision-making and root-cause analysis.

Skills

Python Java Go R SQL Kubernetes Docker AWS CI/CD PostgreSQL Redis Git Jenkins Prometheus Grafana Scikit-learn TensorFlow PyTorch

What you'll do

  • Architect and implement a world-class experimentation engine using advanced statistical methods.
  • Translate complex statistical concepts into robust, production-ready software systems.
  • Develop diagnostics and guardrails to ensure safe and rigorous experiment analysis at scale.
  • Educate internal teams and customers on best practices for statistical experiments and inference.
  • Define standards and frameworks to make experimentation processes trustworthy and efficient by default.
  • Collaborate with cross-functional leadership to shape the product’s direction and vision.

What we're looking for

  • PhD or equivalent experience in Statistics, Computer Science, Econometrics, or related field.
  • Deep expertise in statistics, causal inference, and experimentation methods.
  • Track record of shipping production-grade software solving real user problems.
  • Strong software engineering fundamentals with ability to write clean code.
  • Experience leading cross-functionally across Engineering, Product, Design teams.
  • Knowledge of AI tools for coding, problem-solving, and building systems.

Related searches

More Staff Statistics Engineer jobs All jobs at Datadog

More like this

Similar roles

Staff Data Engineer

Anduril Industries

Costa Mesa, CA 16 days ago $191,000–$253,000
Python Spark PySpark SQL dbt Palantir Foundry AWS Azure GCP Tableau CI/CD Kubernetes Docker Terraform Git Jenkins PostgreSQL Maven Gradle REST APIs JSON
Save

Staff Data Scientist - Experimentation

Apple Inc

San Francisco, CA 46 days ago $181,100–$318,400
Python SQL Pyspark Scala R A/B testing Causal inference Regression analysis Propensity score matching Difference in differences Regression discontinuity Instrumental variables Data pipelines Data quality checks Monitoring systems Data lineage tracking CI/CD AWS Kubernetes
Save

Staff Data Scientist - Experimentation

Apple Inc

New York, NY 46 days ago $181,100–$318,400
Python SQL Pyspark Scala R A/B testing Causal inference Regression analysis Propensity score matching Difference in differences Regression discontinuity Instrumental variables Data pipelines Data quality checks Monitoring systems Data lineage tracking CI/CD
Save

Staff Data Scientist - Experimentation

Apple Inc

San Francisco, CA 65 days ago $181,100–$318,400
Python SQL Pyspark Scala A/B testing Causal inference Regression analysis Propensity score matching Difference in differences Regression discontinuity Instrumental variables Data pipelines Data quality checks Monitoring systems Data lineage tracking CI/CD
Save

Staff Data Scientist - Experimentation

Apple Inc

New York, NY 65 days ago $181,100–$318,400
Python SQL Pyspark Scala R A/B testing Causal inference Regression analysis Propensity score matching Difference in differences Regression discontinuity Instrumental variables Data pipelines Data quality checks Monitoring systems Data lineage tracking CI/CD AWS Kubernetes
Save