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Staff Data Scientist

Hybrid - San Francisco Bay Area

About the Job:

We are currently looking for a Staff 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. We're looking for someone who can work efficiently as a lead 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 Staff Data Scientist you will oversee finding the appropriate statistical methods for various problems in our product space, and working with data engineers to implement those solutions at scale. You will also mentor other data scientists and work with them to deliver sound, performant statistical methods.

Your work will be used by companies from small to large, across multiple industries, allowing them to make the best business decisions possible.

Responsibilities: 

  • Lead the design and expansion of data and decision science products, aligning development efforts with the strategic goals of the organization.
  • Design and implement advanced statistical solutions to address evolving product requirements and complex customer needs.
  • Collaborate closely with cross-functional teams, including product and engineering, to influence the direction of user-facing features and ensure alignment with organizational objectives.
  • Serve as a strategic partner to customers, providing expert guidance and innovative solutions to complex data challenges through the effective application of our products.
  • Champion the adoption of best practices in statistical standards, tooling, and processes across the organization, driving continuous improvement and operational excellence.
  • Lead initiatives to advance the field by contributing to industry or academic papers that introduce new methodologies and techniques.
  • Take an active role in educating and mentoring customers by creating thought leadership content, including blog posts, office hours, and workshops, to foster a deeper understanding of our products and services.

Qualifications:

  • Advanced degree in Statistics, Mathematics, Physics, Economics or related quantitative field
  • Proven experience and fluency in 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

Pay:

Target pay range for a Level P5 based in the San Francisco Bay Area: $200,000 - $235,000**

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.

**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.

About LaunchDarkly:

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

 

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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