About Datadog
Datadog helps developers, data teams, and business users ship and learn fast—combining observability, security, feature flagging, and experimentation into one unified platform. Our tools power innovation across the modern enterprise, helping organizations deliver faster, more reliable digital experiences while continuously learning from their data. We’re growing rapidly and building new capabilities that put Datadog at the forefront of experimentation, inference, and product development tooling.
About the Team
Eppo, now part of Datadog, is building the experimentation platform that powers the world’s most innovative companies—including Coinbase, Perplexity, and DraftKings. Our team of experimenters helps organizations run trustworthy, high-velocity experiments that drive real business outcomes. We bring cutting-edge causal inference methods to bear across a wide range of experiment types and literacy levels, from simple A / B tests to advanced techniques like holdouts, bandits, and synthetic controls.
As part of the Eppo Solutions team within Datadog, you’ll work closely with customers to help them succeed with experimentation—guiding them through design, interpretation, and operational best practices, and ensuring that experimentation becomes a core capability within their business. You’ll be at the forefront of shaping how the world’s leading companies run experiments at scale. At Datadog, you’ll join a collaborative, growth-oriented environment with competitive salary, equity, and benefits—where your expertise in data science and experimentation directly contributes to the success of our customers and our business.
At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You’ll Do
- Serve as a technical and analytical partner to customers evaluating Datadog’s experimentation capabilities during pre-sales engagements.
- Support proofs of concept by helping customers configure metrics, validate data pipelines, and design statistically sound experiments.
- Educate customers on best practices in experiment design, metric definition, and interpretation—spanning product A / B tests, marketing lifecycle tests, pricing and packaging, and AI / ML experimentation.
- Provide post-sales enablement and training, ensuring customers adopt strong analytical and experimental habits within Eppo and Datadog.
- Collaborate with Product and Engineering to represent customer feedback and influence product direction.
- Partner with Sales and Solutions leadership to identify opportunities, overcome objections, and build champions within customer organizations.
- Contribute to internal documentation, playbooks, and presentations that raise the bar for data-driven experimentation across the company.
Who You Are
You have 4+ years of professional data science experience with a strong foundation in statistics, inference, and experimental design .You have run many A / B experiments across multiple companies or products, and are comfortable applying advanced methods such as holdouts, bandits, synthetic controls, or geolift tests .You’re fluent in SQL and experienced enough with data engineering concepts to diagnose issues in customer data warehouses and pipelines.You thrive in customer-facing settings—able to communicate complex analytical ideas clearly, handle objections thoughtfully, and build trust with both technical and non-technical audiences.You are an active listener , able to sense what’s said and what’s not said in conversations, and you adjust your approach accordingly.You enjoy teaching, simplifying, and elevating others’ analytical capabilities.You are motivated by impact—you want your work to influence real business outcomes like customer success, win rates, and revenue growth.Preferred Qualifications
Experience supporting enterprise customers in a solutions, pre-sales, or consulting capacity.Familiarity with tools like dbt, Airflow, or similar analytics orchestration systems .Prior exposure to B2B SaaS or cloud infrastructure analytics environments.Demonstrated thought leadership in experimentation—talks, posts, or internal education initiatives.Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits & Growth
New hire stock equity (RSUs) and employee stock purchase plan (ESPP)Continuous professional development, product training, and career pathingIntra-departmental mentor and buddy program for in-house networkingAn inclusive company culture, with the ability to join our Community GuildsAccess to Inclusion Talks, our internal panel discussionsFree, global Spring Health benefits for employees and dependents age 6+Competitive global benefitsBenefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.