Senior Data Scientist - E-Commerce

Senior Data Scientist
VF Corporation is seeking an exceptional Senior Data Scientist to help accelerate our Data & AI transformation. This role combines advanced data science, machine learning, and Generative AI expertise with the opportunity to solve complex business challenges across some of the worlds most iconic apparel and footwear brands.
As a Senior Data Scientist, you will partner with business, product, engineering, and technology teams to design, develop, and deploy scalable AI and machine learning solutions that deliver measurable business value. From demand forecasting and marketing optimization to Generative AI applications and intelligent automation, youll translate ambiguous business opportunities into production-ready solutions that influence decision-making across VF.
This is an opportunity to work at the forefront of Applied AI, helping shape how VF leverages machine learning, large language models, and modern AI technologies to deliver innovative experiences for consumers and associates worldwide.
Driving Business Impact Through Data Science
Develop advanced machine learning solutions that improve decision-making across marketing, merchandising, supply chain, planning, and digital commerce.
Partner with stakeholders to identify opportunities where AI and advanced analytics can create competitive advantage.
Build and Scale AI Solutions
Design, develop, and produce machine learning and Generative AI applications.
Build and deploy solutions powered by large language models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and multimodal AI capabilities.
Evaluate, fine-tune, and optimize AI models using both proprietary and open-source frameworks.
Ensure AI solutions are scalable, reliable, secure, and aligned with responsible AI principles.
Partner with Data Engineers to acquire, prepare, and manage large-scale data sets.
Develop and validate statistical, machine learning, deep learning, and forecasting models.
Monitor model performance and continuously improve solutions through experimentation and optimization.
Establish best practices for model development, testing, deployment, and lifecycle management.
Collaborate with Product Managers, Data Engineers, DevOps teams, UX designers, Legal, and Operations partners.
Advocate for data-driven decision making and support broader adoption of AI solutions across the enterprise.
Serve as a trusted technical expert and thought partner on Data Science and AI initiatives.
We are looking for a highly skilled data scientist who combines deep technical expertise with strong business acumen and stakeholder leadership.
Data Science & Machine Learning
Expertise in machine learning techniques including regression, classification, clustering, recommendation systems, forecasting, and optimization.
Strong foundation in statistics, hypothesis testing, experimental design, and predictive analytics.
Experience developing and deploying production-ready machine learning models.
Generative AI & AI Engineering
Experience designing and deploying enterprise Generative AI solutions.
Proficiency working with large language models, prompt engineering, model evaluation, and fine-tuning techniques.
Experience building solutions using RAG architectures, vector databases, embeddings, and knowledge retrieval systems.
Experience developing AI agents, autonomous workflows, and orchestration frameworks.
Understanding of responsible AI practices, governance, explainability, privacy, and risk management.
Programming & Data Platforms
Advanced Python development skills with expertise in data science and machine learning libraries.
Strong SQL and data engineering capabilities supporting large-scale analytics environments.
Experience using cloud-based data and AI platforms, preferably Azure Databricks.
Familiarity with distributed data processing, MLOps practices, CI/CD pipelines, and model lifecycle management.
Python, Pandas, NumPy, Scikit-Learn, PyTorch, TensorFlow
Azure Databricks, Delta Lake, MLflow, Unity Catalog
Vector databases and RAG architectures
Azure DevOps, Git, CI/CD workflows
Streamlit or similar application frameworks
D. in Data Science, Computer Science, Machine Learning, Applied Mathematics, Engineering, or a related field.
Typically 5+ years of progressive experience developing and deploying advanced analytics, machine learning, or AI solutions.
Proven record of successfully translating business problems into scalable, production-ready AI and data science solutions.
Benefits at VF Corporation

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lease note, our hiring ranges are determined and built from market pay data. In determining the specific compensation for this position, we comply with all local, state, and federal laws.
All qualified applicants for employment will be considered without regard to an individual’s race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws. If you require accommodations during the application process, please contact us at



. Pursuant to all applicable local Fair Chance Ordinance requirements, including but not limited to the San Francisco Fair Chance Ordinance, VF will consider for employment qualified applicants with arrest and conviction records.