The Data Science team is responsible for analyzing vast amounts of data to better understand and predict customer behavior that in turn informs business decisions and improves J.Crew Group customers’ experiences. Our team has a broad mandate, handling customer analysis across the entire organization and informing marketing, merchandising, planning, stores/field, budgeting, and other financial decisions. The Manager position is responsible for designing an appropriate methodology, accessing and analyzing large amounts of data, and synthesizing findings into insights for strategic ad hoc projects as well as routine reporting.

Responsibilities include:

· Regularly liaise with the marketing, loyalty, merchandising, and stores teams to understand their business needs and provide the right analyses/insights based on their key strategies and issues

· Field ad hoc requests for customer analysis, acting as an analytical thought partner to the business stakeholder and assigning the appropriate analytical approach

· Conduct advanced customer analyses and arrive at compelling data conclusions; translate data findings/trends into actionable insights to better understand complex shopping behavior

· Own, design, develop and distribute customer reports and dashboards that clearly track the effectiveness of strategies underway

· Pull large sets of customer data from J.Crew’s customer database and audit the quality of this data against other data sources

· Work closely with vendors to ensure the integrity of data and analyses from the vendors

· Liaise with our customer database provider to ensure data feeds contain all necessary information, are processed correctly and manage any changes or updates to the current database to support the growing business needs

· Build predictive models to improve profitability, growth, retention, customer lifetime value, and other key performance indicators for our business stakeholders

· Implement formal modeling processes from end-to-end including data gathering, data profiling, numerical model building, calibration, cross-validation, putting the product into production, etc.

· Present any and all analytical findings in easy-to-understand presentations, making clear recommendations based on deep insights into the data

· Advise on experimental designs to ensure new business strategies are tested appropriately and without bias; assist stakeholders in parsing results, arriving at conclusions and advising on next steps, when needed

· Act as a subject matter expert on best practices in retail customer analysis




The ideal candidate is:

· Analytical and curious, especially about how numbers can define company strategy

· An excellent oral and written communicator who can clearly tell stories based on insights into the data

· Understands the retail industry and the analyses common in the trade

· Has advanced project management skills and efficiently manages tasks to completion

· Extremely detail oriented

· Has an entrepreneurial mindset and is comfortable with both change and ambiguity

· Eager to continually improve his/her analytical and technical skills

· Has a positive, can-do attitude and wants to be part of a critical team

Education & Experience Requirements:

· Master’s degree preferred in a quantitative field

· At least 5 years’ previous work experience in retail/e-commerce

· Superior research, statistical, analytical, processing and mathematical skills with the ability to structure and conduct analyses

· Strong proficiency in SQL, R and/or Python, and Microsoft Office Suite

· Working knowledge of AWS toolkit, including S3, Athena, Glue, and Sagemaker

Educational level:

Master Degree

Level of experience (years):

Senior (5+ years of experience)

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