This position is being considered for remote work.
Abercrombie & Fitch Co. is a portfolio of lifestyle brands including Abercrombie & Fitch, abercrombie kids, Hollister, and Gilly Hicks. Reaching customers across 120+ countries, we strive to create customer-centric, omni-channel experiences for our global customer base.
How do we do it? Every day, our associates show up and empower one another to stay curious and think big. As a team of relentless innovators, we aren’t afraid to dream boldly. We are accountable and aim to the highest caliber to understand, push boundaries and embrace change. We coach, mentor, care, and bring our best selves every day because we are in this together. Whether you lead yourself, a team, or the company, everyone is a leader at A&F.
The A&F Corporate Data & Analytics team is committed to scaling predictive analytics across the organization. In order to scale, we need an ambitious and gritty Machine Learning Data Engineer to champion of accuracy, reproducibility, and resiliency. This person will be critical to shortening development cycles for new insight products by reducing technical debt. The ML Data Engineer will leverage comprehensive working knowledge of MLOps as well as Data Engineering best practices to enable data scientist team members to become full-stack – owning projects end-to-end, from data exploration to model deployment.
What will you be doing?
What will you need to bring?
Abercrombie & Fitch Co. is a portfolio of global lifestyle brands (Abercrombie & Fitch Co., abercrombie kids, Hollister, and Gilly Hicks) that share a commitment to offering products of enduring quality and exceptional comfort – allowing consumers around the world to express their own individuality and style. The company operates approximately 850 stores under these brands across North America, Europe, Asia and the Middle East, as well as the e-commerce sites www.abercrombie.com and www.hollisterco.com.