Senior, Data Scientist (pricing)

Walmart · Retail · Bentonville, AR +1

Senior Data Scientist role focused on building and deploying complex, scalable deep learning and reinforcement learning algorithms for pricing optimization within Walmart. The role involves developing algorithms, ensuring scalability across numerous categories and stores, providing transparency on recommendations, preparing data, and documenting frameworks. Experience with optimization, RL, and deploying ML models at scale is required.

What you'd actually do

  1. Develop cutting-edge Price Elasticity and Price Recommendation algorithms
  2. Develop efficient models scalable to hundreds of categories, thousands of stores at Walmart
  3. Provide transparency on algorithmic recommendations that drive adoption and revenue impact
  4. Prepare accurate data for the models to efficiently learn signals and eliminate noise
  5. Prepare thorough documentation of the developed frameworks

Skills

Required

  • Python
  • SQL
  • PySpark
  • Machine Learning libraries
  • Big Data processing systems in cloud environment
  • building Optimization/Reinforcement Learning models for multiple objectives
  • MS/PhD in relevant technical degree (preferably Computer Science, Machine Learning, Operations Research, Applied Mathematics, Statistics, Engineering etc.) with 4+ years of relevant work experience
  • building ML models or delivering impactful customer-facing products
  • training and deploying vision models at scale
  • business analytical mind
  • communicating with consumers of the model and present results in intuitive ways
  • analyzing data to identify patterns and conducting error/deviation analysis
  • fixing issues in the data and finding the optimal representation
  • take a project from scoping requirements through actual launch
  • continuous drive to explore, improve, enhance, automate, and optimize models and products
  • Excellent oral and written communication skills

Nice to have

  • Pricing background is strongly preferred

What the JD emphasized

  • Ph.D/Masters in Data Science and has a strong industry experience
  • building complex, cutting edge, and scalable algorithms
  • deep learning, reinforcement learning and optimization problems
  • Provide transparency on algorithmic recommendations that drive adoption and revenue impact
  • scalable to hundreds of categories, thousands of stores
  • track record of building ML models or delivering impactful customer-facing products
  • track record of training and deploying vision models at scale
  • Ability to take a project from scoping requirements through actual launch

Other signals

  • building complex, cutting edge, and scalable algorithms
  • pricing domain
  • deep learning, reinforcement learning and optimization problems
  • provide transparency on algorithmic recommendations
  • published in top tier conferences and journals