(usa) Senior, Data Scientist

Walmart · Retail · Moon Pie Building AR Bentonville

Senior Data Scientist role focused on developing and deploying advanced statistical and machine learning models for retail divisions, with a focus on Global Sourcing. The role involves leading a team, utilizing big data analytics, and ensuring model scalability and sustainability in production environments. Experience with MLOps and model evaluation/tuning is required.

What you'd actually do

  1. Drive data-derived insights across a wide range of retail divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives
  2. Direct the gathering of data, assess data validity and synthesize data into large analytics datasets to support project goals
  3. Lead a team of Data Scientists to solve problems in Global Sourcing domain using advanced Machine Learning and Gen AI.
  4. Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data.
  5. Build and train AI/ML models for replication for future projects

Skills

Required

  • Python programming
  • SQL
  • statistical methods
  • time series analysis
  • advanced analytical modeling techniques
  • data visualization tools
  • model deployment
  • model validation
  • model tuning
  • scalability and sustainability of analytical models
  • MLOps practices
  • software testing methodologies

Nice to have

  • Spark
  • Scala
  • R
  • optimization models
  • Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics

What the JD emphasized

  • advanced statistical models
  • machine learning algorithms
  • advanced Machine Learning and Gen AI
  • advanced data science techniques
  • AI/ML models
  • advanced analytical techniques
  • machine learning
  • predictive modeling
  • advanced analytical modeling techniques
  • model deployment, validation, tuning
  • scalability and sustainability of analytical models

Other signals

  • Develop, test, and deploy advanced analytical models
  • Apply statistical methods and machine learning techniques
  • Build and train AI/ML models for replication for future projects
  • Support scalability and sustainability of models in production environments