Data Scientist Intern

Key Skills

Apache Flink, AWS, AWS Kinesis, CockroachDB, Data Modeling, Distributed systems, Elasticsearch, GoLang, MongoDB, NATS, Python Programming, REDIS, Rust, Statistical modeling, Terraform

Job Description

LaunchDarkly is seeking a Data Scientist Intern to join our Decision Science Products team for Summer 2023. 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.

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 be responsible for using appropriate statistical methods for various problems in our product space, and working with data engineers to implement those solutions at scale.

What you'll get to do:

• Build and expand our data and decision science products
• Design statistical solutions for new products and evolving customer needs
• Collaborate with product team to influence and deliver user-facing features
• Partner with customers to solve diverse data challenges using our products
• Promote statistics standards, tooling, and processes
• Opportunity to work on industry or academic papers for new methodologies
• Opportunity to work as a junior data scientist in a production environment

On day one, you should have:

• Should have finished your Junior year or pursuing an Advanced Degree in Statistics, Mathematics, Physics, Economics or related quantitative field
• Appreciation for both frequentist and Bayesian statistics
• Strong communication skills, a positive attitude, and empathy
• You hold yourself and others to a high bar when working with statistics
• You value high code quality, reproducibility, and other data engineering best practices

Bonus Points:

• Experience with sequential testing