Senior, Data Scientist

Walmart Walmart · Retail · Mississauga, ON

Senior Data Scientist role focused on leveraging data, advanced analytics, and machine learning to understand customer behavior, improve operations, and drive business decisions. The role involves the full ML lifecycle from data sourcing and analysis to model development, evaluation, and deployment, with a specific emphasis on LLM and Generative AI solutions.

What you'd actually do

  1. This role involves identifying suitable data sources, performing initial quality checks, and supporting the prioritization of requirements.
  2. The role may also conduct exploratory data analysis, design experiments, test hypotheses, and finalize experiment dimensions.
  3. Selecting appropriate analytical modeling techniques for structured, complex data and developing custom analytical models is a key responsibility.
  4. Assessment and validation of models by applying best practices for testing and tuning are essential to ensure accuracy, fit, validity, and robustness.
  5. This role tests developed software, translates business requirements into projects and tasks, and aligns activities with the overall business strategy.

Skills

Required

  • Python
  • SQL
  • Large-scale datasets
  • Data warehouses
  • Distributed computing environments
  • Cloud platforms
  • Machine learning workflows
  • Feature engineering
  • Model training
  • Model validation
  • Experimentation
  • Performance monitoring
  • Interpretation of results
  • Large Language Model (LLM) solutions
  • Generative AI solutions
  • Retrieval-augmented generation
  • Prompt engineering
  • Embedding-based search
  • Model evaluation
  • Fine-tuning
  • AI-assisted workflow automation
  • Business stakeholders
  • Product teams
  • Data engineers
  • Analytics teams
  • Communication skills
  • Storytelling skills

Nice to have

  • Advanced analytics
  • Statistical modeling
  • Optimization techniques
  • Causal reasoning
  • Impact estimation
  • Success measurement

What the JD emphasized

  • Experience applying advanced analytics, machine learning, statistical modeling, or optimization techniques to solve complex business problems.
  • Demonstrated ability to develop, evaluate, and improve predictive or machine learning models from problem definition through implementation.
  • Strong ability to translate ambiguous business problems into structured analytical frameworks, including hypothesis development, causal reasoning, impact estimation, and success measurement.
  • Experience developing or applying Large Language Model (LLM) and Generative AI solutions, such as retrieval-augmented generation, prompt engineering, embedding-based search, model evaluation, fine-tuning, or AI-assisted workflow automation, to solve complex business problems.

Other signals

  • Develops and evaluates predictive or machine learning models
  • Experience developing or applying Large Language Model (LLM) and Generative AI solutions
  • Experience with machine learning workflows, including feature engineering, model training, validation, experimentation, performance monitoring, and interpretation of results