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Looking for a Staff Data Scientist to design, implement, and scale features at Datadog. Responsibilities include identifying business opportunities, developing ML models, mentoring team members, and engaging with stakeholders. Requires 8+ years of industry experience, Master's degree or PhD, strong coding skills in Python and Scala, and expertise in Machine Learning lifecycle.

Join the multicultural Browser SDK team at Datadog to write new SDK modules and components, work on browser RUM product, collaborate with product and UI teams, and improve engineering tooling. Must be familiar with web browser ecosystem, security, and privacy challenges. Strong experience in Javascript/Typescript and browser APIs required.

Join the Browser SDK team at Datadog to write new SDK modules, collaborate with product and UI teams, and contribute to building a robust and secure library for web applications. Experience with Javascript, Typescript, and browser APIs is required.

Join Datadog's Browser SDK team to write new SDK modules, collaborate with product teams, maintain code, and improve engineering tooling. Valued experience includes Javascript/Typescript, knowledge of browser ecosystem, and commercial SDK development.

Join Datadog's Browser SDK team to write new SDK modules, collaborate with product teams, and maintain robust code for web browser ecosystem. Requires experience in Javascript/Typescript, browser APIs, and SDK development.

Design, build, and operate the next generation ingestion and storage engine for historical metrics. Collaborate with teams to improve storage efficiency and query performance. Be on call for team services and work on feature development. Requires 2+ years of application building experience and technical degree or equivalent. Proficiency in Go, Python, Java, Rust, or C/C++. Strong focus on code simplicity and performance. Ability to design high-scale architectures. Desire to work in a fast-paced startup environment.

Design, build and operate the next generation ingestion and storage engine for historical metrics. Collaborate with downstream teams and product managers to meet customer needs. Value code simplicity and performance. Design architectures for high-scale solutions in a fast-paced startup environment.