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Company:  JCrew
Location: 

New York, NY, US, 10281

Date:  Jul 10, 2021

Director Advanced Analytics and Data Science

DIRECTOR, ADVANCED ANALYTICS & 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 Group is seeking a Director to lead a growing Advanced 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 Director you’ll report to the Head of Business Intelligence and Analytics and manage a team of data scientists, data analysts, and data engineers.  You will make technical decisions on data, technology, and ways of working to grow our advanced analytics function.

You will lead specific projects for internal clients while performing technical reviews on the team's work.   You will translate the needs of our stakeholders across all three brands (Madewell, J.Crew and J.Crew Factory) into predictive models and applicable insights with a focus on increasing revenue and reducing cost, emphasizing automation and business process improvement.

 

 

THINK YOU WOULD ENJOY THIS?

  • Leading a data function, partnering with the business and pro-actively influencing the business and their decision-making process using data-driven insights.
  • Speak to technical and non-technical audiences, verbally and visually, to drive better decisions across all areas of the business with a customer-centric focus
  • Manage 4-6 data scientists and analysts on the team. Be both coach and mentor to those on the team and cross-functional partners to raise the company’s data literacy
  • Setting best practices for Analytical Modeling and Workflows to ensure production-ready data and insights
  • Identify trends and opportunities both in what we do and how we do it; evaluate new data science, machine learning, and AI technologies that can enchance business processes and our advanced analytics processes
  • Democratize AI and advanced analytics throughout the organization
  • Demonstrate a spirit of cooperation, teamwork, and transparency to move the business forward
  • Contribute to the development and maintenance of customer data warehouse, analytics processes and dashboards on Snowflake and Power BI
  • Contribute to a self-service data model for a customer analysis in Power BI
  • Oversee end-to-end adhoc analytics projects – including liaising with Business Stakeholders (ie, marketing, merchandising, strategy, planning, etc.) and Insights, designing analyses/data models, data wrangling, and delivering/presenting analyses to a non-technical audience
  • Set best practices for company wide tracking, analysis, and reporting of core customer KPIs; identifying opportunities to streamline processes and efficiencies across the organization
  • Liaising with customer data vendors, making sure the data is clean and meets the business’ analytics requirements, and managing complementary changes/updates to the customer data warehouse

 

YES? GREAT! NOW…

DOES THIS SOUND LIKE YOU?

  • Bachelor’s degree in quantitative field, or an equivalent combination of formal education and experience.
  • Master's degree in quantitative field or MBA preferred.
  • Minimum 10 years total business experience
  • 8+ years of business experience leading analyses and initiatives with track record of business impact.
  • 5+ years of people management experience
  • Mentor and lead others; provide hands-on technical guidance; conduct code reviews
  • Simultaneously coordinate and track multiple deliverables, tasks and dependencies across multiple partners
  • Proficiency in SQL, R and/or Python and Statistical methodologies.
  • Experience developing a variety of machine learning models and algorithms in a commercial environment with experience creating meaningful impact

 

 

 

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
  • Analytical, curious, enjoy working with large (often messy) dataset, and is process-driven – proactively looking for efficiencies and optimization opportunities
  • Have expertise in multivariate statistical modeling (e.g. clustering, regression, principal components and factor analysis, time-series forecasting, Bayesian methods) and machine learning (Random Forest, KNN, SVM, boosting and bagging, regularization etc.)

 

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.

 

 

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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