(usa) Senior, Data Scientist

Walmart Walmart · Retail · ISD - DGTC AR BENTONVILLE, SUNNYVALE IV- 680 W CALIFORNIA CA SUNNYVALE

Senior Data Scientist role focused on developing and deploying scalable data-driven solutions for Walmart U.S. stores and eCommerce. The role involves leveraging advanced analytical techniques, including time series forecasting with global models, generative AI for data synthesis and NLP assistants, and training large-scale neural networks for various applications. The position requires building production-ready applications on cloud platforms and collaborating with cross-functional teams to influence decision-making.

What you'd actually do

  1. Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST, enabling robust forecasting across thousands of retail and e-commerce time series.
  2. Apply generative AI to synthesize time series data, enhance model training pipelines, and build intelligent NLP-based assistants for analytics enablement.
  3. Design and train large-scale neural networks for time series, anomaly detection, and causal inference, with deployment via automated batch pipelines
  4. Build and maintain production-ready applications on cloud platforms, integrated with internal systems to deliver insights at scale.
  5. Collaborate with cross-functional teams to define objectives, formulate hypotheses, and deploy models that directly influence decision-making.

Skills

Required

  • Python
  • SQL
  • PyTorch
  • TensorFlow/Keras
  • Scikit-learn
  • statsmodels
  • time series forecasting
  • deep learning
  • optimization theory
  • sequence modeling
  • attention-based architectures
  • transformer-based neural networks
  • GPU-based model training pipelines

Nice to have

  • Spark
  • Scala
  • R
  • Machine Learning
  • Operations Research
  • Applied Mathematics
  • Econometrics

What the JD emphasized

  • time series forecasting
  • deep learning
  • optimization theory
  • transformer-based neural networks
  • Python
  • SQL
  • PyTorch
  • TensorFlow/Keras
  • Scikit-learn
  • statsmodels
  • GPU-based model training pipelines

Other signals

  • time series forecasting
  • generative AI
  • NLP-based assistants
  • large-scale neural networks
  • production-ready applications
  • cloud platforms