STAFF, DATA SCIENTIST

10+ years of experience in data science, analytics, or related fields.

Strong analytical and problem-solving skills, with experience in extracting actionable insights from complex datasets.

Proficiency in Python or R for data analysis and machine learning; experience with SQL for data querying and manipulation.

Experience with data engineering tasks, including data cleaning, transformation, and integration from multiple sources.

Familiarity with cloud platforms (e.g., GCP, Azure, AWS), big data tools (e.g., Spark, BigQuery), and ML frameworks (e.g., scikit-learn, TensorFlow, MLFlow).

Ability to build dashboards and visualizations using tools such as PowerBI, Tableau, or Looker.

Knowledge of reliability engineering concepts, incident management, and operational analytics best practices.

Exposure to AI Agent frameworks, agentic architectures, or conversational AI platforms (e.g., People Domain Agent, RAG pipelines, workflow orchestration).

Experience designing, evaluating, or deploying agentic AI solutions for operational automation or analytics.

Excellent communication skills to present findings and recommendations to technical and non-technical audiences.

Initiative to promote data quality, question existing processes, and advocate for lean, efficient operations.

About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's 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.