Karkidi
Senior Data Scientist / Applied Statistician
Karkidi, Oakland, California, United States, 94616
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 team currently owns experimentation, LaunchDarkly’s second largest product, and is developing additional products that rely heavily on statistics, especially sequential testing, Bayesian optimization, and various machine learning methods. 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 lead data scientist, you will oversee finding the appropriate statistical methods for various problems in our product space and work 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:
Build and expand our data and decision science productsDesign statistical solutions for new products and evolving customer needsCollaborate with the product team to influence and deliver user-facing featuresPartner with customers to solve diverse data challenges using our productsPromote statistics standards, tooling, and processesOpportunity to work on industry or academic papers for new methodologiesOpportunity to build out a team of data scientistsOpportunity to help educate customers via blog posts, office hours, etc.Qualifications:
Advanced degree in Statistics, Mathematics, Physics, Economics, or related quantitative fieldProven experience and fluency in probability and statisticsExperience building experimentation toolsAppreciation for both frequentist and Bayesian statisticsStrong communication skills, a positive attitude, and empathyYou hold yourself and others to a high bar when working with statisticsYou value high code quality, reproducibility, and other data engineering best practicesBonus Points:
Experience with sequential testingPay:
Target pay range for a Level P4 in San Francisco/Bay Area: $165,000 - $195,000.Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.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, degree level, and location.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 outagesDelivering targeted experiences by easily personalizing features to customer cohortsMaximizing the business impact of every feature through the ability to experiment and optimizeCoordinating the release and optimization of software to provide consistent experiences across mobile platforms and device typesImproving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stabilityAt 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.
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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 team currently owns experimentation, LaunchDarkly’s second largest product, and is developing additional products that rely heavily on statistics, especially sequential testing, Bayesian optimization, and various machine learning methods. 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 lead data scientist, you will oversee finding the appropriate statistical methods for various problems in our product space and work 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:
Build and expand our data and decision science productsDesign statistical solutions for new products and evolving customer needsCollaborate with the product team to influence and deliver user-facing featuresPartner with customers to solve diverse data challenges using our productsPromote statistics standards, tooling, and processesOpportunity to work on industry or academic papers for new methodologiesOpportunity to build out a team of data scientistsOpportunity to help educate customers via blog posts, office hours, etc.Qualifications:
Advanced degree in Statistics, Mathematics, Physics, Economics, or related quantitative fieldProven experience and fluency in probability and statisticsExperience building experimentation toolsAppreciation for both frequentist and Bayesian statisticsStrong communication skills, a positive attitude, and empathyYou hold yourself and others to a high bar when working with statisticsYou value high code quality, reproducibility, and other data engineering best practicesBonus Points:
Experience with sequential testingPay:
Target pay range for a Level P4 in San Francisco/Bay Area: $165,000 - $195,000.Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.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, degree level, and location.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 outagesDelivering targeted experiences by easily personalizing features to customer cohortsMaximizing the business impact of every feature through the ability to experiment and optimizeCoordinating the release and optimization of software to provide consistent experiences across mobile platforms and device typesImproving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stabilityAt 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.
#J-18808-Ljbffr