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J.Crew Data Scientist in New York, New York

Company: JCrew

Location:

New York, NY, US, 10281

Date: Apr 16, 2021

Data Scientist

DATA SCIENTIST, CUSTOMER ANALYTICS AND DATA SCIENCE

WHO WE ARE

We make timeless clothes that last a lifetime…then pair them with of-the-moment styles season after season, decade after decade. We think that distinct heritage pairs perfectly with modern design and fabric technology. We believe in feel-good color…Even if black or navy makes you feel best, we’re here for that. We’re the experts in signature categories: cashmere, coats, blazers, pants—and we also collaborate with the coolest brands out there because we know that creativity is contagious. We consider leopard a neutral, speak stripes fluently and live for a great gingham. We believe in looking like a million bucks, not spending it—which is why we go the extra mile to source the absolute best fabrics at the most accessible prices. We also know that we have a responsibility to the planet and to humanity to choose eco-friendly fabrics and to support our factory workers, without compromise. We’ve had your back for over 35 years, and we’re convinced there’s no better expert on our clothes than you, our customer.

ABOUT THE TEAM

J.Crew LLC is seeking a Data Scientist to join a growing Customer Analytics and Data Science team that is obsessed with data, customer insights and driving digital innovation. Come join our team and help us reinvent retail.

As Data Scientist you’ll report to the Head of Customer Analytics and Data Science. You will be a pioneering member of a performance-driven team. You will be the empirical, numbers-driven voice of reason that helps elevate all three brands’ customer strategies. You will be focused on building predictive data models to drive strategic business decisions and deliver insights across three unique brands (Madewell, J.Crew, and Factory). This is a high-visibility, high-impact, individual contributor role.

THINK YOU WOULD ENJOY DOING THIS?

  • Design and build models, ie. Clustering/Segmentation, Forecasting, Predictive CLV and Churn, Multi-Touch Attribution, Market basket, Product recommendation

  • Productionalize, maintain and recommend models to business stakeholders – identify opportunities to drive business with new analytic techniques or predictive models

  • Manipulating large datasets for analyses and/or developing automated processes for Insights democratization

YES? GREAT! NOW…

DOES THIS SOUND LIKE YOU?

  • 2-5 years of experience with strong analytical skills

  • Experience with customer behavioral analytics and/or retail industry experience strongly preferred

  • BS in Economics, Statistics, Information Management, Computer Science, Mathematics, or similar quantitative field

  • Proficiency with either Python or R; Experience with Snowflake, AWS, CDPs is a plus

  • Proficiency with SQL and Data Visualization and Insight presentation tools (Power BI – or Tableau, Excel)

BONUS POINTS IF YOU ARE…

  • Objective and scientifically hypothesis-driven: obsessed with finding the right answer; lets numbers define the story rather than finding numbers to support a hypothesis

  • Technical and business-savvy: not only able to write code and employ data/statistical methods, but also understands the business (the why)

  • A forward-thinking visionary, keeping up with Data Science/Analytics trends and always on the lookout to improve on the status quo

  • Comfortable working in an agile environment; creative, curious, and eager to learn

  • Familiar with the complexities and nuances of retail databases, CDPs (Customer Data Platforms), and customer behavioral analysis preferred

  • Able to communicate well with Analysts and Engineers as well as Business Stakeholders

  • Organized and able to work on multiple projects at a time

YES AGAIN? Then you’d be a great addition to the team! Please click the apply button to submit your application.

We are committed to affirmatively providing equal opportunity to all associates and qualified applicants without regard to race, color, ancestry, national origin, religion, sex, marital status, age, sexual orientation, gender identity or expression, legally protected physical or mental disability or any other basis protected under applicable law.

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