Autonomy and ownership are core to working at Stitch Fix, particularly on the Algorithms team. Data Scientists are expected to build their systems end to end and maintain them in the long run. We rely on automation, documentation, and collaboration to enable data scientist to build and maintain production services. In this talk I will discuss what we have built and how we communicate about these tools with our data scientists.
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juliet hougland
Data Platform Engineer | Stitch Fix
Juliet Hougland builds data science infrastructure at Stitch Fix. She is a data scientist and engineer with expertise in computational mathematics and years of hands-on machine learning and big data experience. She has built and deployed production ML models, advised Fortune 500 companies on infrastructure and worked on a variety of open source projects (Apache Spark, Scalding, and Kiji) at the intersection of big data and machine learning. She has worked at Cloudera as well as two tiny, now defunct startups.
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