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Abercrombie & Fitch Co. · 3 months ago

Data Scientist - Digital

United States

Full-time

Remote

Mid Level

Abercrombie & Fitch Co. is a global, digitally led omnichannel specialty retailer of apparel and accessories. They are seeking a Data Scientist with a strong focus on digital transformation and Gen AI initiatives to leverage advanced statistical modeling and machine learning techniques to enhance product discovery and customer experience across digital channels.

ApparelE-CommerceRetailWomen's

Responsibilities

Design and implement innovative machine learning and Gen AI solution for product and content discovery, personalization and customer engagement

Develop and deploy generative AI solutions (e.g., language and vision models, agentic AI) to enhance and automate digital experiences

Build predictive models (propensity, lifetime value, customer affinity, churn, etc.) and recommender systems tailored for e-commerce

Apply advanced modeling techniques, including classification, generalized linear models, decision trees, time series forecasting, clustering, survival analysis, deep learning, and transformer-based architectures

Integrate new data sources (internal and external) and modalities (clickstream, text, images, audio) into ML and Gen AI pipelines

Identify and capitalize on opportunities to increase conversion rates, reduce costs, and drive revenue through data-driven solutions

Serve as an advanced analytics subject matter expert (SME) for the broader analytics team

Identify cross-channel and cross-platform optimization opportunities for customer, product, market, promotions, and pricing strategies

Champion data-informed decision-making and proactively seek innovative ways to leverage data and analytics

Ensure data integrity and a single source of truth; collaborate with Data Engineers to develop scalable solutions

Stay abreast of emerging trends in Gen AI, ML, and digital analytics, and share best practices with the team

Qualification

Machine LearningGenerative AIPredictive ModelingSQLPythonRBig Data PlatformsCommunicationSelf-StarterContinuous Learning

Required

Bachelor's Degree or related experience

Proficiency in SQL, Python, and R; familiarity with big data platforms, cloud-based ML/AI services, and MLOps best practices

Strong communication skills, with the ability to explain complex technical concepts to both technical and business audiences

Highly motivated/self-starter with a sense of ownership, willingness to learn, and desire to succeed

Commitment to continuous learning and professional growth in the rapidly evolving field of digital and Gen AI analytics

Must perform well in high pressure situations, balance competing priorities, and demonstrate the ability to work without direct supervision

Preferred

Experience with Databricks and MLflow

Experience using foundational text/vision/multimodal models, finetuning foundational models and familiarity with generative AI frameworks (e.g., Hugging Face, Google Vertex AI, Azure AI foundry, Lang chain) is highly desirable