Harlan D. Harris
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  • Communicating A/B Test Results for Conversion Rates with Ratios and Uncertainty Intervals

    calendar Aug 20, 2022 · 8 min read · a/b testing data science statistics  ·
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    A/B testing is a tool for supporting decision-making in business, and so in addition to getting the statistics right, it’s really important to communicate well with the non-statisticians who will have the final say on the go/no-go decision. Most A/B tests in practice are testing ratios, conversion rates of various …


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  • Staff Data Scientist: Comments on Will Larson's Staff Engineer Book

    calendar May 27, 2022 · 11 min read · data science job titles management  ·
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    I recently read Will Larson’s excellent book Staff Engineer: Leadership beyond the management track. Larson covers the individual contributor (IC, not management) roles that software engineers fill after they are promoted past Senior Software Engineer, with titles like Staff and Principal …


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  • A/B Testing and Product Ratings, Part 2: Multiple Ratings

    calendar May 23, 2022 · 3 min read · data science analytics business statistics a/b testing  ·
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    Second, your A/B test split users, but you’re measuring ratings, which are per-item. Some customers will buy multiple pairs of shoes, and most likely will either rate all of them or none of them. Does this fact affect how confident you can be at the end of the experiment? Randomization Unit Mis-Match A/B tests are …


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  • A/B Testing and Product Ratings, Part 1: Delays and Bias

    calendar May 22, 2022 · 7 min read · data science analytics business statistics a/b testing  ·
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    Suppose you’re a data scientist at an e-commerce web site that sells shoes, responsible for supporting A/B tests. Many A/B tests are easy, and there are a number of companies that sell tools that make the easy cases as simple as clicking a few buttons and looking at pretty graphs. But A/B tests can get statistically …


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  • New Publications and Upcoming Talks

    calendar Sep 4, 2018 · 1 min read · algorithms conferences data science machine learning meetup software architecture  ·
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    Just a quick post here to note a few professional accomplishments: I just added a new publication to my vita – a peer-reviewed conference proceeedings article about abstractions for building repeated, related versions of similar predictive models. Check out some longer thoughts on Medium, or read the full …


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  • A few things I learned from two small Data Science conferences

    calendar Jul 16, 2017 · 5 min read · data science machine learning conferences  ·
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    This post was originally published on Medium I recently attended two small conferences — the ISBIS (International Society for Business and Industrial Statistics) 2017 conference, held at IBM Research in Westchester County, and the Domino Data Lab Popup, held in West SoHo. I was invited to speak at ISBIS (slides here, …


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  • What do Data Scientists mean by “Scaling”?

    calendar Jun 9, 2017 · 7 min read · machine learning data science scaling software architecture  ·
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    This post was originally published on Medium Occasionally when chatting with other data scientists, especially with others who are interested in integrating predictive models into production software system, the word “scaling” comes up. Not this. Although some West Coast data scientists are into this kind of scaling …


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  • Conference Blogging INFORMS Analytics 2017

    calendar Apr 9, 2017 · 3 min read · data science conferences analytics operations research  ·
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    This post was originally published on Medium A particularly good way to get a little more out of professional conferences is to blog about your experiences, I think. It makes you focus your thoughts on things like “what’s the big take-away here,” and “what should I be asking people in the hallways?” Rather than just …


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  • Transparency, Trust, and Proprietary Predictive Analytics

    calendar Feb 27, 2017 · 9 min read · data science machine learning algorithms ethics  ·
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    This post was originally published on Medium A particularly good talk at Strata NY last year was by Brett Goldstein, former CIO of Chicago, who talked about accountability and transparency in predictive models that affect people’s lives. This struck a strong chord with me, so I wanted to take some time to write down …


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  • Insights from a Predictive Model Pipeline Abstraction

    calendar Nov 7, 2016 · 5 min read · data science machine learning software engineering software architecture programming  ·
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    This post was originally published on Medium When building a complex system, it’s often helpful to think about the design of that system using patterns and abstractions. Architects and software engineers do so frequently, and the experience of implementing predictive modeling pipelines has recently led to a variety of …


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Featured Posts

  • Communicating A/B Test Results for Conversion Rates with Ratios and Uncertainty Intervals
  • Staff Data Scientist: Comments on Will Larson's Staff Engineer Book

Recent Posts

  • Communicating A/B Test Results for Conversion Rates with Ratios and Uncertainty Intervals
  • Staff Data Scientist: Comments on Will Larson's Staff Engineer Book
  • A/B Testing and Product Ratings, Part 1: Delays and Bias
  • New Publications and Upcoming Talks
  • Stovetop Smoked Chinese Fish
  • How I Rewrite Recipes
  • On moving my blog from Wordpress to Blogdown
  • On How and When to Teach Layers of Abstraction in Programming

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Harlan D. Harris

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