Apache Flink, AWS Kinesis, Bayesian networks, Data Engineering, Experimentation, GoLang, Scala Programming, Statistics
We are currently looking for a Lead Data Scientist to join our Decision Science Products team. As a lead data scientist you will help us choose and develop the best statistical methods for various data and decision science products. The decision science products teams currently own experimentation, LaunchDarkly’s second largest product, and are developing additional products that rely heavily on statistics, especially sequential testing and Bayesian optimization. We're looking for someone who can work efficiently as the first, full-time data scientist on the decision science team getting solutions from concept to production.
Our data platform processes events from over twenty billion feature flag evaluations, and billions of experimentation metrics events daily. The core technologies we use daily include Golang, Scala, Kinesis, and Flink. As a data scientist you will oversee be responsible for finding the appropriate statistical methods for various problems in our product space, and working with data engineers to implement those solutions at scale.
Your work will be used by companies from small to large, across multiple industries, allowing them to make the best business decisions possible.
What you'll get to do:
On day one, you should have:
Bonus Points:
LaunchDarkly isn’t just a leader in feature management — it’s the first scalable feature management platform. Feature management allows development teams to innovate faster by fundamentally transforming how software is delivered to customers. With the ability to gradually release new software features to any segment of users on any platform, DevOps teams can standardize safe releases at scale, accelerate their journey to the cloud and collaborate