LaunchDarkly
A Data Scientist on LaunchDarkly’s Core Data Science team focused on core methodology for statistical products. The role centers on ensuring statistical rigor and validity of features, developing new techniques to deliver user value, and making data accessible across the product organization while partnering closely with engineering, design, and product.
Headquarters
Oakland, California, United States
Company Size
501-1000 employees
Founded
2014
LaunchDarkly is a feature management and runtime control platform that helps engineering teams safely manage code and AI agents in production. Its platform includes feature flags, progressive delivery, automated rollback, observability, and experimentation for traditional software, as well as AgentControl for governing AI agent behavior, optimizing AI performance and cost, and enabling self-healing systems. Companies use LaunchDarkly to ship AI-built code with confidence, run controlled rollouts, reduce release risk, and continuously experiment across web, mobile, backend, and AI-powered services.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for LaunchDarkly.
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