(USA) Senior Data Scientist, Tech

Position Summary...

What you'll do...

X4 Time Series Data Scientist – Forecasting & Generative AI

What you’ll do:

· Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST, enabling robust forecasting across thousands of retails and e-commerce time series.

· Foundational Knowledge on advanced regression.

· Apply generative AI to synthesize time series data, enhance model training pipelines, and build intelligent NLP-based assistants for analytics enablement.

· Design and train large-scale neural networks for time series, anomaly detection, and causal inference, with deployment via automated batch pipelines using tools like Airflow or Astronomer.

· Build and maintain production-ready forecasting and LLM applications on cloud platforms (GCP or Azure), integrated with internal systems to deliver insights at scale.

· Perform Big Data processing and feature engineering using distributed compute platforms like Spark or Ray.

· Collaborate with cross-functional teams (product, engineering, business) to define objectives, formulate hypotheses, and deploy models that directly influence decision-making.

What you’ll bring:

· Strong foundation in time series forecasting, deep learning, and optimization theory, with a focus on sequence modeling and attention-based architectures.

· Experience in training and deploying transformer-based neural networks (e.g., TFT, LSTM, GPT variants) for real-world business applications.

· Proficient in Python, SQL, and hands-on with PyTorch, TensorFlow/Keras, Scikit-learn, and stats models.

· Demonstrated ability to work on GPU-based model training pipelines, and exposure to managing experimentation at scale.

Great to have:

· Hands-on experience with distributed training, multi-GPU setups, or TPU-based workflows.

· Exposure to LLM fine-tuning, retrieval-augmented generation (RAG), NLP applications.

· Familiarity with ML model monitoring, drift detection, and model retraining strategies in live systems.

· Knowledge of econometrics or domain experience in retail, demand forecasting, or e-commerce analytics.

Behavioral Qualifications:

· Self-starter with a problem-solving mindset, comfort with ambiguity, and ability to adapt quickly in a fast-paced environment.

· Strong communication skills to translate complex technical findings into actionable insights for non-technical stakeholders.

· A collaborative approach with a bias for action, ownership mindset, and a passion for learning and innovation.

About Walmart Global Tech:

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. Thats what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

Flexible, hybrid work:

We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us togeth