SENIOR, DATA SCIENTIST

Position Summary...

What you'll do...

About Team: Associate Experience and Digital Transformation (AEDT)

The AEDT team supports the successful deployment and adoption of People technology across the enterprise. As a Fortune #1 company, our work impacts millions of associates globally. We strive to continuously improve people technology and products to help managers and associates so they can focus on what matters most - supporting our customers and members. People Technology is one of the major segments of Walmart Global Tech’s Enterprise Business Services, which is invested in building a compact, robust organization that includes service operations and technology solutions for Finance, People, and the Associate Digital Experience.

The AEDT team mission is to deliver business value through consumer-grade products and services; building trust through transparency, optimizing our operational costs and reinvesting into experienced-based outcomes, which enable radical flexibility for the evolving digital workforce.

Walmart’s Enterprise Business Services (EBS) is a powerhouse of several exceptional teams delivering world-class technology solutions and services making a profound impact at every level of Walmart.  

As a key part of Walmart Global Tech, our teams set the bar for operational excellence and leverage emerging technology to support millions of customers, associates, and stakeholders worldwide. Each time an associate turns on their laptop, a customer makes a purchase, a new supplier is onboarded, the company closes the books, physical and legal risk is avoided, and when we pay our associates consistently and accurately, that is EBS. Joining EBS means embarking on a journey of limitless growth, relentless innovation, and the chance to set new industry standards that shape the future of Walmart. 

What you'll do:

• Work on end-to-end data science use cases, from data exploration to model deployment and monitoring.
• Develop and deploy advanced machine learning models to solve business challenges.
• Collaborate with cross-functional teams to identify AI-driven opportunities and build intelligent solutions.
• Apply predictive analytics, NLP, and deep learning techniques where applicable.
• Design, develop, and optimize AI models for automation, anomaly detection, and decision-making.
• Ensure scalability and performance optimization of data science models in production.
• Stay updated on the latest advancements in AI and data science to drive innovation.
• Provide technical leadership and mentor junior data scientists in the team.

What you'll bring:

• Bachelor's with 10 + years of relevant experience OR Masters with 8 + years of relevant experience
• Experience in Analyzing the Complex Problems and translate it into data science algorithms 
• Experience in machine learning, supervised and unsupervised: NLP, Classification, Data/Text Mining, Multi-modal supervised and unsupervised models, Neural Networks, Deep Learning Algorithms 
• Experience in statistical learning: Predictive & Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series, Dynamic/Causal Model, Statistical Learning, Guided Decisions, Topic Modeling 
• Experience with big data analytics : identifying trends, patterns, and outliers in large volumes of data 
• Hands-on Experience with AI & ML Frameworks – Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and other ML tools for building and deploying end to end model pipelines.
• Cloud & MLOps Knowledge – Experience with cloud platforms (GCP, or Azure) and familiarity with ML model deployment, CI/CD, and automation.
• Strong Data Handling Skills – Expertise in working with large datasets, SQL, data engineering principles, and real-time data processing.
• AI Tool Development & Innovation – Ability to design and build AI-powered solutions to automate processes and enhance decision-making.
• Collaboration & Communication – Experience working in cross-functional teams, mentoring junior data scientists, and articulating data-driven insights to stakeholders.
• Gen AI:Experience in generating embeddings, managing vector databases, setting up LLM gateways, and building AI agents using Retrieval-Augmented Generation (RAG). Skilled in model selection, prompt tuning, fine-tuning, and ensuring accuracy through monitoring and feedback.
• Lead role mentoring multiple Jr. Data Scientists on approach and results.                                      
• Strong Experience in Python, PySpark 
• Google Cloud platform ,Vertex AI, Kubeflow, model deployment 
• Continuous Learning & Innovation – A passion for staying ahead of industry trends, exploring emerging AI technologies, and applying best practices in data science.

Required Skills:

• 10+ years of relevant experience in data science, machine learning, and AI.
• Expertise in Python/R, SQL, and cloud-based ML platforms (GCP, Azure).
• Strong experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Hands-on experience in AI model development, NLP, deep learning, and reinforcement learning.
• Ability to work with large datasets, data pipelines, and feature engineering.
• Strong understanding of MLOps, model deployment, and monitoring best practices.
• Excellent problem-solving skills with a business-first approach.
• Strong communication skills and ability to translate data insights into business value.
• Experience in Graph AI, LLMs (Large Language Models), and Generative AI.
• Knowledge of AutoML and AI/ML model interpretability techniques.
• Experience working with real-time streaming data and utilizing visualization tools such as Grafana.

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Primary Location...