Senior Data Scientist

Corporate Functions; Denver (CO); On-site; USD 143,000 - 178,000; Full time

Benefits offered by this job

Incentive potential

Benefits overview

Job summary

VF Corporation is seeking a Senior Data Scientist to design, develop, and deploy scalable AI and machine learning solutions that deliver measurable business value. This role blends traditional ML with Generative AI use cases including LLMs, RAG, and AI agents, focused on influencing decision-making across the business.

Based in Denver, CO onsite, the role requires 5+ years of experience, advanced degree, and deep expertise in time-series forecasting, production-ready models, and responsible AI

Qualifications

• 5+ years of experience in data science or ML; senior level expertise required.
• Advanced knowledge of time-series forecasting and predictive analytics.
• Experience designing and deploying enterprise Generative AI solutions and AI agents.

Responsibilities

• Develop scalable ML and Generative AI solutions for multiple business areas (marketing, merchandising, supply chain, digital commerce).
• Design and deploy predictive models, forecasting solutions, and optimization algorithms.
• Translate business challenges into analytical approaches with measurable ROI.
• Collaborate with cross-functional teams to drive AI initiatives and data-driven decision making.
• Build and deploy AI solutions powered by LLMs, RAG, AI agents, and multimodal AI.
• Monitor model performance and iterate using experimentation and optimization.

Skills

Generative AI

LLMs

prompt engineering

data-driven decision making

leadership influence

Python development

SQL

MLOps

CI/CD

cloud platforms

Education

Master's degree or Ph.D. in Data Science / CS / ML / Applied Math / Engineering

Tools

Python

Pandas

NumPy

Scikit-Learn

PyTorch

TensorFlow

Azure Databricks

Delta Lake

MLflow

LangChain

LangGraph

OpenAI APIs

RAG

Job description

Corporate Functions at VF Corporation is seeking a Senior Data Scientist to help design, develop, and deploy scalable AI and machine learning solutions that produce measurable business value. This role blends classic machine learning with Generative AI use cases, including LLMs, RAG, and AI agents, with a focus on influencing decision-making across multiple parts of the business.

Location and compensation

• Location: Denver, CO 80202 (onsite)
• Salary: USD 142,560 - 178,200 per year

Responsibilities

• Develop advanced machine learning solutions that improve decision-making across marketing, merchandising, supply chain, planning, and digital commerce.
• Design and implement predictive models, forecasting solutions, and optimization algorithms for complex business problems.
• Translate business challenges into analytical approaches that drive measurable outcomes and ROI.
• Partner with stakeholders to identify opportunities where AI and advanced analytics can create competitive advantage.
• Design, develop, and produce machine learning and Generative AI applications.
• Build and deploy solutions powered by 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.
• Present technical findings and business recommendations to leadership and non-technical stakeholders.
• 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.

Requirements

• 5+ years of experience.
• Master's degree or Ph.D. in Data Science, Computer Science, Machine Learning, Applied Mathematics, Engineering, or a related field.
• 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.
• Advanced knowledge of time-series forecasting methodologies and model evaluation techniques.
• Experience designing and deploying enterprise Generative AI solutions.
• Proficiency working with LLMs, prompt engineering, model evaluation, and fine-tuning techniques.
• Experience with 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.
• Advanced Python development skills with data science and machine learning libraries.
• Strong SQL and data engineering capabilities for large-scale analytics environments.
• Experience using cloud-based data and AI platforms, preferably Azure Databricks.
• Familiarity with distributed data processing, MLOps, CI/CD pipelines, and model lifecycle management.
• Ability to translate complex technical concepts into actionable business insights.
• Proven ability to influence decisions across cross-functional teams and leadership groups.
• Strong problem-solving skills, with effectiveness in ambiguous environments.
• Collaborative mindset with a passion for mentoring, knowledge sharing, and continuous learning.

Technologies

• Python, Pandas, NumPy, Scikit-Learn
• PyTorch, TensorFlow
• Azure Databricks, Delta Lake, MLflow, Unity Catalog
• LangChain, LangGraph
• OpenAI APIs, Model Context Protocol (MCP)
• Vector databases, RAG architectures
• Azure DevOps, Git, CI/CD workflows
• Streamlit
• LLMs, Retrieval-Augmented Generation (RAG), AI agents, multimodal AI

Benefits

• Incentive potential: additional compensation awards that may include an annual incentive plan, sales incentive, or commission potential.
• Benefits: benefits at VF Corporation (medical plan rates and overview available via www.MyVFbenefits.com and provided during the hiring process).

Driving business impact and scaling solutions

• Improve decision-making across marketing, merchandising, supply chain, planning, and digital commerce through advanced machine learning and forecasting.
• Develop and deploy Generative AI solutions using LLMs, RAG, AI agents, and multimodal AI capabilities.
• Use proprietary and open-source frameworks to evaluate, fine-tune, and optimize AI models.
• Partner with Data Engineers to acquire, prepare, and manage large-scale data sets, supporting end-to-end model development and lifecycle management.

Influence across functions

• Share technical findings and business recommendations with leadership and non-technical stakeholders.
• Collaborate across Product, Data Engineering, DevOps, UX, Legal, and Operations to advance AI initiatives.
• Promote data-driven decision making and support broader adoption of AI solutions across the enterprise.