Lead Data Scientist Applied Statistician at Launchdarkly

About the Job:
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: 

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 build out a team of data scientists
Opportunity to help educate customers via blog posts, office hours, etc.

On day one, you should have:

Advanced degree in Statistics, Mathematics, Physics, Economics or related quantitative field
Proven experience and fluency probability and statistics
Experience building experimentation tools
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

About LaunchDarkly:
LaunchDarkly is a Feature Management Platform that serves trillions of feature flags daily to help software teams build better software, faster. Feature flagging is an industry standard methodology of wrapping a new or risky section of code or infrastructure change with a flag. Each flag can easily be turned off independent of code deployment (aka "dark launching"). LaunchDarkly has SDKs for all major web and mobile platforms. We are building a diverse team so that we can offer robust products and services. Our team culture is dynamic, friendly, and supportive. Our headquarters are in Oakland.
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.

Don't let the confidence gap get in the way of applying! We'd love to hear from you.


LaunchDarkly is also committed to giving back to our community and is a part of Pledge 1%, an organization that helps companies make this a priority. Through this initiative and its charitable arm, the LaunchDarkly Foundation, the company is committed to such causes as supporting education for the underserved, homelessness relief and moving towards having a net-zero carbon footprint. You can find more about the LaunchDarkly Foundation and the organizations we serve at https://launchdarkly.com/foundation/. 

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