Staff, Data Scientist

Walmart · Retail · Bentonville, AR

Staff Data Scientist at Walmart focused on developing and deploying advanced analytical models (ML, statistical, simulation, optimization, causal inference) to solve complex business problems in areas like Supply Chain and Store Operations. The role involves MLOps for production deployment and collaboration with various teams. Requires 5+ years of experience, strong coding skills (Python, Spark, etc.), SQL, cloud platforms (GCP, Azure), and experience mentoring junior scientists.

What you'd actually do

  1. Model Development: Applying sophisticated data science and advanced analytics models such as machine learning, statistical modeling, simulation, and optimization to produce valuable insights that guide decision-making and enhance business outcomes.
  2. Designing and implementing causal inference frameworks to measure the true impact of business changes and inform decision-making.
  3. Data Engineering: Collaborating with data engineers to preprocess, clean, and structure data for model training and evaluation. Ensuring data pipelines are optimized for efficiency and accuracy.
  4. Machine Learning Operations (MLOps): Deploying and maintaining machine learning models in production environments, ensuring reliability and scalability.
  5. Collaboration: Working closely with data scientists, data engineers, software engineers, product, and business stakeholders to understand requirements and translate them into technical solutions.

Skills

Required

  • advanced analytics
  • machine learning
  • statistical modeling
  • simulation
  • optimization
  • causal inference
  • Data Engineering
  • MLOps
  • Python
  • Spark
  • Scala
  • R
  • SQL
  • BigQuery
  • GCP
  • Azure
  • problem-solving
  • communication

Nice to have

  • Java
  • C++
  • mentoring

What the JD emphasized

  • modeling complex business problems
  • machine learning
  • statistical modeling
  • simulation
  • optimization
  • causal inference
  • MLOps
  • deploying and maintaining machine learning models
  • 5+ years of experience
  • advanced data science models
  • data-driven projects
  • translate business problems into causal frameworks
  • Proficient coding
  • Strong proficiency in SQL
  • Proficient with data warehouse
  • cloud platforms
  • Experience in MLOps
  • Exceptional analytical and problem-solving skills
  • Excellent verbal and written communication skills
  • Track record of successfully interacting with business stakeholders
  • Experience mentoring junior operations research or machine learning scientists

Other signals

  • modeling complex business problems
  • machine learning
  • statistical modeling
  • simulation
  • optimization
  • causal inference
  • MLOps
  • deploying and maintaining machine learning models