Data Scientist, Data Science

LaunchDarklyRemote - USA$104k – $104k+ Equity5d ago

Remote Mid NA Software Insurance Mental Health Data Scientist Segment Decision Making

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Requirements

Technical Expertise: Masters or PhD in Statistics or a related field, or 3+ years experience specifically in online experimentation
Technical Expertise
Communication: Excellent written and verbal communication skills. Ability to clearly articulate technical ideas and trade-offs to both technical and non-technical audiences.
Communication
Bias for Action: A pragmatic and iterative approach to engineering that emphasizes incremental progress and continuous delivery.
Bias for Action
Target pay ranges based on Geographic Zones* for Level 2:
Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $121,800 - $167,530**
Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $109,700 - $150,810**
Zone 3: All other US locations - $103,600 - $142,450**
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:
Improving the velocity and stability of software releases, without the fear of end customer outages
Delivering targeted experiences by easily personalizing features to customer cohorts
Maximizing the business impact of every feature through the ability to experiment and optimize
Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability

Responsibilities

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

Benefits

Competitive pay based on Geographic Zones* for Level 2 positions ranging from $103,600 to over $167,530.
Opportunity to work cross-functionally with engineering, design, and product teams.
Ability to contribute significantly to the company's core methodology within our products through research on feature designs that satisfy statistical guarantees or performance expectations.