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6 Aug 2018

Full-Time Data Science at Everlane (growth stage ecommerce startup)

Everlane – Posted by jasonzjea San Francisco, California, United States

Job Description

Everlane is seeking a Data Analyst/Scientist to join our Data and Analytics team, where you’ll use data to help us build a better understanding of how our product works, who our customer are, and what drives our company’s growth.
As a team, we lean on a full-stack set of methodologies and tools to solve these problems, taking a data science problem from an initial open ended question to the eventual business implementation of a model. The subject areas that you will impact span the entire company, from helping our digital product team evaluate new opportunities of improvement on our website, to building models around the purchase preferences of our customers, to optimizing putaway times at our warehouse.

The Job

    • Work with business stakeholders to create metrics and self service reporting around key questions
    • Create and deploy custom models to understand a diverse set of business problems including customer preferences, marketing performance, and inventory patterns
    • Design and analyze rigorous experiments aimed at understanding customer behavior
    • Ensure the integrity of the vast data sources feeding our analytics

The Qualifications

    • BA/BS degree in a quantitative or computing focused degree
    • 4+ years of experience wrangling and analyzing large datasets to solve open ended business problems
    • Expertise in R, Python, or another data science suitable language
    • Expertise in SQL
    • Strong fundamentals in statistics and probability, including formal statistical modeling and experimental design
    • Strong communicator, especially when distilling complex concepts for a general audience
    • Able to translate qualitative questions into an analytical framework, including recognizing when simplicity is for the best
    • Nice to have: working on data problems in a distributed framework, i.e. Spark, Hadoop

How to Apply

Please submit your application through our jobs page. If you'd like, there is a section at the bottom for additional comments where you can include that you originally saw the position through the r-users job board.  We will reach back out through email.

Job Categories: Data Scientist / Statistician. Job Types: Full-Time. Job Tags: data scientist, data-science, ecommerce, experimentation, machine learning, python, r, and retail. Salaries: More than $100,000.

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