Type
FULL TIME
Work Style
Remote
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.
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.
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
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.
Pay:
Target pay ranges based on Geographic Zones* for Level 2:
LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.
*Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.
**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.
Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.
The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com.
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Fill out this accommodations request form and someone from our People Operations team will contact you for assistance.
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Prepare for your Data Scientist, Data Science interview at LaunchDarkly.