Data Scientist – Digital

October 23

Apply Now
Logo of Abercrombie & Fitch Co.

Abercrombie & Fitch Co.

Retail • Fashion • B2C

Abercrombie & Fitch Co. is a leading global omnichannel specialty retailer offering apparel and accessories for men, women, and kids. The company's brands, including Abercrombie & Fitch, YPB, abercrombie kids, Hollister, and Gilly Hicks, focus on providing high-quality, comfortable products that enable consumers worldwide to express their individuality and style. Abercrombie & Fitch Co. places a strong emphasis on digital transformation, sustainability, inclusion, and diversity. The company has been recognized as a great place to work for LGBTQ+ equality and is committed to community partnerships and global giving.

10,000+ employees

Founded 1892

🛒 Retail

👗 Fashion

👥 B2C

📋 Description

• Machine Learning & Gen AI • 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. • Digital Analytics Ecosystem • 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.

🎯 Requirements

• 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. • Experience with Databricks and MLflow is preferred. • 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, LangChain) is highly desirable. • 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.

🏖️ Benefits

• Incentive bonus program • 401(K) savings plan with company match • Annual companywide review process • Flexible spending accounts • Medical, dental and vision insurance • Life and disability insurance • Associate assistance program • Paid parental and adoption leave • Access to fertility and adoption benefits through Carrot • Access to mental health and wellness app, Headspace • Paid Caregiver Leave • Mobile Stipend • Paid time off and one paid volunteer day per year, allowing you to give back to your community • Work from anywhere (Mondays and Fridays are “work from anywhere” days for most roles and six work from anywhere weeks per year) • Seven associate wellness half days per year • Merchandise discount on all of our brands • Opportunities for career advancement, we believe in promoting from within • Access to multiple Associate Resource Groups • Global team of people who will celebrate you for being YOU!

Apply Now

Similar Jobs

October 23

California Medical Evaluators

51 - 200

⚕️ Healthcare Insurance

Data Scientist responsible for building predictive models and uncovering business opportunities for MDpanel using medical data analysis and machine learning techniques.

🇺🇸 United States – Remote

💵 $102k - $148k / year

💰 $6.4M Private Equity Round on 2017-03

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

October 22

Federato

11 - 50

🤖 Artificial Intelligence

Data Science Manager leading a multidisciplinary team at Federato, driving data insights and engineering solutions. Ensuring vision translates into consistent, high-quality delivery.

🇺🇸 United States – Remote

💵 $185k - $225k / year

💰 $15M Series A on 2022-09

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

October 22

Bayesian Health

11 - 50

🤖 Artificial Intelligence

⚕️ Healthcare Insurance

🧬 Biotechnology

Senior Machine Learning Data Scientist developing healthcare AI models and driving their effectiveness in real-world applications. Collaborating cross-functionally with Clinical and Engineering teams.

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

October 22

Catena Labs

1 - 10

💳 Fintech

₿ Crypto

🤖 Artificial Intelligence

Core contributor in developing new applications, APIs, and SDKs for AI interactions at Catena. You will tackle technical challenges at the intersection of AI, blockchain, and finance.

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

October 22

Ambush

51 - 200

🤝 B2B

🏢 Enterprise

👥 HR Tech

Engineering Data Scientist role at Ambush developing custom agents and Knowledge Graphs. Focused on optimization of data retrieval for intelligent systems in a collaborative environment.

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

Developed by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com