Principal Statistician

Company: Episerver
Location: Austin
Posted on: January 9, 2021

Job Description:

We start the new chapter of Episerver as we proudly join forces with Optimizely to create a new wave of digital leaders through transforming digital experience creation and optimization. Episerver is consistently ranked as a market leader in digital experience creation, supporting the digital journeys of 9,000+ global brands, while Optimizely is the world's leader in experience optimization. Combined, these two powerhouses create the most advanced digital experience platform in the industry. The combination of creation and optimization will enable companies across all segments and industries to take advantage of what content, commerce, personalization and experimentation can bring to their business and to their customers.The scale of our product has created tremendous potential for growth with Episerver + Optimizely - growth of teams, growth of influence, and growth of personal careers. If you are looking to work on the next generation of digital technologies in a fast-paced, hyper-growth environment, apply! We're just getting started...Rigorous statistical analysis is at the core of all of our digital experimentation and optimization offerings. Our team has built the industry's leading statistical analysis tool, Stats Engine, advancing and combining state-of-the-art sequential hypothesis testing techniques with false discovery rate controls, empowering our customers to make rigorous decisions using streaming data from their online experiments. Our team explores the application of multi-armed bandits, bayesian analysis, survival analysis, linear regression and much more to core customer problems in experimentation, conversion attribution, and speed and correctness of decision making. The team collaborates with engineering to design, implement and deploy statistical libraries and services. The team also collaborates with customer success teams on customer-focussed statistics education.As a Statistician you will:

• Become an expert on Stats Engine (Sequential Hypothesis Testing) and additional techniques such as Bayesian analysis
• Collaborate with engineering and product teams to investigate, design, and implement net new statistical capabilities or net new products
• Participate in pre-sales and post-sales customer calls to articulate how we maintain statistical accuracy and to triage questions on statistical inference
• Educate our external (customers) and internal (our customer success teams) stakeholders on fundamental statistical concepts via webinars, speaking engagements, blogs, and white papers.About you:
  • You have a PhD or 5+ years of experience in statistics or a closely related field such as bioinformatics or applied mathematics
  • You have experience with experimentation, randomized control trials, and inference, particularly aspects of high throughput testing such as multiple hypothesis testing, sequential testing, reinforcement learning, and data mining of experiments
  • You are able to consume state-of-the-art research and translate it's applicability to customer-focussed business problems
  • You have mastery of commonly accepted computational scripting languages such as Python and R, some experience of large dataset processing tools such as SQL or frameworks such as map reduce, and some exposure to object oriented programming in languages such as Java
  • You have experience in math or statistical education such as teaching, teaching assistantships, conference talks or consultingSome of our public work:Open Source
    • Sequential Sample Ratio Mismatch package: https://github.com/optimizely/ssrmPapers
      • Stats Engine White Paper: http://pages.optimizely.com/rs/optimizely/images/stats_engine_technical_paper.pdf
      • Stats Engine Academic Paper: https://arxiv.org/abs/1512.04922Blog Posts
        • Bayesian vs Frequentist Statistics
        • Optimizely's (acquired by Episerver) Stats Engine
        • Approximate Counting and Statistical SignificanceConference Talks
          • Optimizely Test and Learn 2020: Detecting Incorrectly Implemented Experiments
          • CMStatistics 2019: The state of industry statistics in online AB experiments
          • CODE @ MIT 2016: A/B Testing in a Changing World
          • INFORMS 2015: Can I Take a Peek? Continuous Monitoring of A/B Tests
          • CODE @ MIT 2014: Can I Take a Peek? Continuous Monitoring of A/B Tests#LI-HS1

Keywords: Episerver, Austin , Principal Statistician, Other , Austin, Texas