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Senior Data Scientist
VF CorporationCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and deploying advanced machine learning and Generative AI solutions, with a strong foundation in statistics and predictive analytics. Proven ability to translate complex business challenges into actionable insights and scalable AI applications while ensuring adherence to responsible AI practices.
Highest-signal resume keywords
Machine Learning TechniquesGenerative AI SolutionsPython Development SkillsSQL and Data EngineeringTime-Series Forecasting
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Develop advanced machine learning solutions for marketing, merchandising, supply chain, planning, and digital commerce
- Design and implement predictive models, forecasting solutions, and optimization algorithms
- Translate business challenges into analytical approaches that drive measurable outcomes and ROI
- Partner with stakeholders to identify AI and advanced analytics opportunities
- Design, develop, and produce machine learning and Generative AI applications
- Build and deploy solutions powered by LLMs, RAG, AI agents, and multimodal AI capabilities
- Evaluate, fine-tune, and optimize AI models using proprietary and open-source frameworks
- Ensure AI solutions are scalable, reliable, secure, and aligned with responsible AI principles
- Acquire, prepare, and manage large-scale datasets with Data Engineers
- Develop and validate statistical, machine learning, deep learning, and forecasting models
- Monitor model performance and 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 enterprise adoption of AI solutions
- Serve as a trusted technical expert and thought partner on Data Science and AI initiatives
Requirements
What you’ll need- 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 with large language models, prompt engineering, model evaluation, and fine-tuning techniques
- Experience building 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 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
- 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 and ability to work effectively in ambiguous environments
- Collaborative mindset with a passion for mentoring, knowledge sharing, and continuous learning
- Master's degree or Ph.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 translating business problems into scalable, production-ready AI and data science solutions
Benefits
Comp & perks- Additional compensation awards may include an annual incentive plan, sales incentive, or commission potential
- Benefits programs, including medical plans
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningPredictive AnalyticsStatistical AnalysisDeep LearningOptimization AlgorithmsModel Evaluation TechniquesData PreparationForecasting ModelsAI Model Fine-TuningExperimental Design
Soft Skills
Problem-SolvingCollaborationInfluencing DecisionsMentoringKnowledge Sharing
Tools & Technologies
Azure DatabricksLarge Language ModelsRAG ArchitecturesVector DatabasesMLOps Practices
Certifications & Qualifications
Master's Degree in Data SciencePh.D. in Computer Science
Industry Keywords
Responsible AI PracticesData ScienceAI SolutionsCross-Functional CollaborationEnterprise Analytics