Datadog is looking to solve the problem of helping developers, data teams, and business users ship and learn fast by combining observability, security, feature flagging, and experimentation into one unified platform.
Requirements
- 4+ years of professional data science experience with a strong foundation in statistics, inference, and experimental design.
- 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.
- Fluent in SQL and experienced enough with data engineering concepts to diagnose issues in customer data warehouses and pipelines.
- 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.
Responsibilities
- 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.
Other
- 4+ years of professional data science experience
- Bachelor's degree or higher in a quantitative field
- Ability to communicate complex analytical ideas clearly, handle objections thoughtfully, and build trust with both technical and non-technical audiences.
- Active listener, able to sense what’s said and what’s not said in conversations, and you adjust your approach accordingly.
- Motivated by impact—you want your work to influence real business outcomes like customer success, win rates, and revenue growth.
