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(USA) Senior, Data Scientist

World's leading retailer focused on helping people save money so they can live better, combining retail innovation with technology.
Bentonville, AR, USA
$90,000 - $180,000
Data
Senior Software Engineer
In-Person
5,000+ Employees
4+ years of experience
AI · Enterprise SaaS

Description For (USA) Senior, Data Scientist

As a Senior Data Scientist at Walmart Corporate Affairs Technology, you'll be at the forefront of designing and implementing cutting-edge AI and machine learning solutions. This role is part of the Enterprise People Technology team within Walmart Global Tech's Enterprise Business Services, supporting the world's largest retailer with technology that impacts millions of associates globally.

You'll work on developing and deploying sophisticated AI/ML models using state-of-the-art frameworks like OpenAI, HuggingFace, and TensorFlow. The position involves building scalable cloud-based GenAI systems, implementing natural language processing solutions, and creating highly parallelized compute environments for large-scale data processing.

The role offers an exciting opportunity to work with diverse teams across engineering, business, and operations, solving complex problems that directly impact Walmart's corporate affairs efficiency. You'll be responsible for the end-to-end lifecycle of AI/ML projects, from ideation to deployment, ensuring alignment with Walmart's strategic goals.

Working at Walmart Global Tech means being part of a team where one line of code can make life easier for hundreds of millions of people. The company offers comprehensive benefits including health insurance, 401(k), stock purchase plans, and educational assistance. The salary range of $90,000-$180,000 reflects the value Walmart places on experienced data scientists.

The position is based in Bentonville, Arkansas, a growing tech hub that offers over 200 miles of trails, an emerging food scene, and cultural attractions like the Crystal Bridges Museum. You'll be part of Walmart's mission to help people save money and live better, while working on technology that shapes the future of retail.

This role requires a Masters degree (PhD preferred) in a relevant field and at least 4 years of experience in software development and data science. The ideal candidate will have expertise in Python, C++, CUDA, and relevant ML libraries, along with strong experience in cloud services and microservices architecture. Join Walmart Global Tech to make an epic impact and be at the forefront of the next retail disruption.

Last updated a day ago

Responsibilities For (USA) Senior, Data Scientist

  • Contribute to the end-to-end lifecycle of AI/ML projects, from ideation to deployment
  • Design and implement scalable cloud-based GenAI systems
  • Develop novel algorithms using state-of-the-art AI frameworks
  • Build highly parallelized compute environments for processing large-scale datasets
  • Collaborate with diverse teams across engineering, business, and operations
  • Advocate for best practices in software development, including CI/CD, testing, and documentation

Requirements For (USA) Senior, Data Scientist

Python
  • Masters degree (PHD preferred) in Computer Science, Machine Learning, Statistics or related field
  • Experience with RAG, Agentic frameworks, Knowledge Graphs, NLP and generative AI
  • 4+ years of experience in software development and data science
  • Expertise in Python, C++, CUDA, and relevant libraries
  • Experience with serverless architecture and microservices
  • Strong experience with cloud services, especially GCP
  • Knowledge of designing, building and maintaining APIs
  • Hands-on experience with natural language processing and recommender systems
  • Knowledge of data pipelines, ETL processes, and big data technologies
  • Excellent communication and problem-solving skills

Benefits For (USA) Senior, Data Scientist

Medical Insurance
Vision Insurance
Dental Insurance
401k
Equity
Parental Leave
Education Budget
  • Multiple health plan options including vision & dental plans
  • 401(k)
  • Stock purchase plans
  • Life insurance
  • Associate discounts
  • Education assistance
  • Parental Leave
  • Military service pay
  • Paid Time off (vacation, sick, parental)
  • Short-term and long-term disability

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