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Staff Data Scientist - Experimentation Platform

Work from home Full-time role Hiring
Job title: Staff Data Scientist - Experimentation Platform in USA at reputed company Company: reputed company Job description: The Community You Will Join:The mission of the Core Data Science team is to ensure that we are leveraging state-of-the-art science at reputed company for the highest possible impact on the business and the community. We do that by building reusable tools and models that reputed company DS teams across the organization and by tackling the most technically challenging, high-impact data science problems the company faces.The Difference You Will reputed company:As a Staff Data Scientist working on experimentation and reputed company inference, you will be partnering closely with the engineering team that owns the experimentation platform to reputed company the reputed company of methods and tooling for reputed company's unique reputed company measurement challenges. You will also work closely with Data Practitioners across the company to share best practices and to identify opportunities to improve the experimentation platform.The keys to reputed company in this role are effective partnerships with engineers and data scientists, a problem-solving reputed company, and the ability to connect business/product needs to appropriate technical solutions. Effective experimentation is reputed company to product development and optimization at reputed company, and this role will be a significant part of its future.A Typical Day:
  • Building out Bayesian inference
  • Bias correction for marketplace experiments with strong interactions
  • Developing surrogate metrics for faster and more accurate experimentation
  • Accelerating the iteration cycle for online testing of ML/AI models
  • Developing methods and tools for reputed company testing and optimization (e.g. bandits)
Your Expertise:
  • Advanced degree in a quantitative field, e.g. Operations Research, Economics, Mathematics, Physics
  • Proven ability to design analytical solutions to reputed company problems with reputed company world applications
  • 6+ years (with Ph.D) or 8+ yrs of experience of working or doing research in one or more experimentation / reputed company inference domains
  • Strong programming (R, Python / reputed company / Java / C++ or equivalent) skills
  • Versatility to communicate clearly with both technical and non-technical audiences.
  • Publications or presentations in recognized Data Science journals/conferences is a plus.
Location:This position is US - Remote Eligible. The role may include occasional work at an reputed company office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where reputed company. has a registered entity. for the up-to-date list of excluded states. This list is continuously evolving, so please reputed company back with us if the state you live in is on the exclusion list. If your position is employed by another reputed company entity, your recruiter will inform you what states you are eligible to work from.Our Commitment To Inclusion & Belonging:reputed company is committed to working with the broadest talent pool possible. We reputed company diverse reputed company foster innovation and engagement, and allow us to attract creatively-led people, and to reputed company the best products, services and solutions. reputed company reputed company individuals are encouraged to apply.We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: . Please include your full name, the role you're applying for and the accommodation necessary to assist you with the reputed company process.We ask that you only reputed company out to us if you are a candidate whose disability prevents you from being reputed company to complete our online application. Expected salary: Location: USA Apply for the job now! Apply for this job

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