Sr Data Scientist

Southern Glazer's Wine and Spirits-posted 2 months ago
Full-time • Senior
Dallas, TX
5,001-10,000 employees
Merchant Wholesalers, Nondurable Goods
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The Senior Data Scientist - AI Personalization is responsible for developing and deploying cutting-edge machine learning and artificial intelligence solutions for the Next Best Action and Recommendation Initiatives that drive business growth and enhance sales and customer experiences. This role focuses on building sophisticated recommendation systems for sales and ecommerce platforms and creating intelligent sales execution agents powered by large language models. The Senior Data Scientist transforms complex business requirements into scalable AI solutions, leading projects from conception through production deployment while ensuring alignment with strategic business objectives and driving measurable impact across digital commerce and sales operations.

  • Design and implement advanced recommendation systems for sales and ecommerce applications, including item similarity models, product substitution recommendations, add-to-cart suggestions, and ready-to-reorder predictions
  • Develop and optimize embedding models, ranking/retrieval systems, and collaborative filtering techniques including two-tower architectures and matrix factorization
  • Create and maintain LLM-based sales execution agents with tool calling capabilities and RAG systems to provide intelligent product recommendations and account-specific insights
  • Gather, process, and ensure quality of large-scale datasets while performing comprehensive EDA to identify high-value patterns and business opportunities
  • Design and maintain scalable ML pipelines for real-time inference and batch processing with robust model monitoring and evaluation frameworks
  • Guide cross-functional teams in AI-driven initiatives, creating compelling visualizations and presentations to communicate model performance and business impact
  • Plan work within an agile framework by breaking out big initiatives into smaller, attainable tasks or experiments that can be assigned throughout the team
  • Provide strategic insights and recommendations based on AI analysis to influence executive decision-making and mentor junior team members
  • Stay current with latest AI/ML developments and contribute to AI strategy roadmap, identifying new opportunities for AI application in beverage industry commerce
  • Bachelor's, Master's, or PhD degree in Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics, or related field; Master's degree preferred
  • Typically 5+ years of relevant experience in AI/ML, with specific focus on recommendation systems, natural language processing, or large language models
  • Proven experience with embedding models, ranking/retrieval systems, and collaborative filtering techniques
  • Hands-on experience with large language models, fine-tuning, and prompt engineering
  • Experience building and deploying agentic AI systems with tool calling capabilities
  • Solid understanding of Retrieval Augmented Generation (RAG) architectures and implementation
  • Experience managing and delivering complex AI/ML products from research to production
  • Native-level proficiency/fluent in English
  • Deep knowledge of modern recommendation system architectures, transformer models, and large language model fine-tuning
  • Proficiency in Python with ML frameworks (PyTorch, TensorFlow, MLflow), LLM tools and frameworks (LangChain, OpenAI Agents), and vector databases
  • Experience with AWS services and Databricks for scalable ML infrastructure and model deployment
  • Knowledge of MLOps practices including containerization, model versioning, A/B testing, and real-time inference systems
  • Expertise in embedding techniques, multi-armed bandit algorithms, causal learning, reinforcement learning
  • Proven ability to translate business requirements into scalable AI solutions with experience in ecommerce/retail environments
  • Demonstrated technical leadership skills encompassing employee coaching, objective setting, and fostering professional development
  • Excellent communication skills for presenting complex AI concepts to technical and executive audiences
  • Understanding of retail metrics, sales processes, and preferably beverage industry dynamics
  • Comprehensive medical and prescription drug coverage
  • Dental and vision plans
  • Tax-saving Flexible Spending Accounts
  • Disability coverage
  • Life insurance plans
  • 401(k) plan
  • Tuition assistance
  • Wellness program
  • Parental leave
  • Vacation accrual
  • Paid sick leave
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