Data Scientist, Data Science
About The Position
We are looking for a talented individual to join the Core Data Science team at LaunchDarkly – a small but mighty team responsible for core methodology within our product line. Our remit includes: Ensuring the statistical rigor and validity of our products Developing new techniques to bring value to our users Advocating for technically-sophisticated personas in our product development process Raising the bar for data-driven decision making within our products Many of the products at LaunchDarkly are inherently statistical – experimentation and release guardian especially. The value of these products is fundamentally tied to their statistical characteristics. Therefore, the work of the Core DS team is critical to ensuring that our users get the most out of these features. What you’ll do as a member of Core DS Broadly, you’ll work cross-functionally with all areas of the team from engineering, design, and product. Your core partners are the engineering team. You’ll be expected to do basic research on how features should be designed to satisfy certain statistical guarantees or performance expectations, create reference implementations or advise engineers on implementation details for production features, and occasionally get your hands dirty with production code. You will also be an extremely valuable resource to our design and product teams. You can expect to be involved in most product decisions to help size and scope projects with a technical bent, and frequently contribute to design discussions when a technical eye is needed. Finally, you’ll hold the torch for making data accessible and useful for everyone on the team. You’ll help create and tweak team metrics, pull and refine the queries for computing those metrics, and steward the processes and tooling for surfacing those to the team so that we everyone can be more data-driven.
Requirements
- Experience: 3+ years in industry
- Technical Expertise: Masters or PhD in Statistics or a related field, or 3+ years experience specifically in online experimentation
- Communication: Excellent written and verbal communication skills. Ability to clearly articulate technical ideas and trade-offs to both technical and non-technical audiences.
- Bias for Action: A pragmatic and iterative approach to engineering that emphasizes incremental progress and continuous delivery.
Responsibilities
- Ensuring the statistical rigor and validity of our products
- Developing new techniques to bring value to our users
- Advocating for technically-sophisticated personas in our product development process
- Raising the bar for data-driven decision making within our products
Benefits
- Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
