As a Customer Data Scientist at Datadog, you will partner directly with customers to help them design, execute, and scale high-impact experimentation programs. This role is ideal for someone with deep experience in applied experimentation who thrives in customer-facing environments and is motivated by driving measurable business outcomes. You will guide customers through experiment design, metric development, and data validation, helping them build trustworthy, decision-driven experimentation practices. Working cross-functionally with Sales, Product, and Engineering, you’ll play a key role in both customer success and product evolution.
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 across pre-sales and post-sales engagements, demonstrating the value of Datadog’s experimentation capabilities
- Support proofs of concept by helping customers define metrics, validate data pipelines, and design statistically sound experiments
- Educate customers on best practices in experiment design and interpretation across product, marketing, pricing, and AI-driven use cases
- Enable long-term customer success by building strong experimentation practices and analytical rigor within their teams
- Collaborate with Product and Engineering to translate customer feedback into product improvements and roadmap input
- Partner with Sales and Solutions teams to navigate complex customer needs, address objections, and build trusted relationships
Who You Are:
- 4+ years of experience in data science with a strong foundation in statistics, causal inference, and experimental design in applied business or product contexts
- Hands-on experience running A/B tests and applying advanced experimentation methods such as holdouts, bandits, synthetic controls, or geo-based testing
- Fluent in SQL and comfortable working with data warehouses and pipelines to diagnose and resolve data quality issues
- Experienced in customer-facing, consulting, or pre-sales environments, with the ability to communicate complex ideas clearly to diverse audiences
- Skilled at translating analytical insights into business impact, influencing decisions across technical and non-technical stakeholders
- Experience with experimentation platforms, analytics tooling, or modern data stack technologies (e.g., dbt, Airflow) is a plus
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 and Growth:
- Generous and competitive benefits package
- New hire stock equity (RSUs) and employee stock purchase plan
- Continuous career development and pathing opportunities
- Employee-focused best in class onboarding
- Internal mentor and cross-departmental buddy program
- Friendly and inclusive workplace culture
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
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. Here are our Candidate Legal Notices for your reference.
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