Data Scientist - IN3

The Catalogue Data Science Team at Walmart Global Tech is focused on using the latest research in generative AI (GenAI), artificial intelligence (AI), machine learning (ML), statistics, deep learning, computer vision and optimisation to implement solutions that ensure Walmart's product catalogue is accurate, complete, and optimised for customer experience. Our team tackles complex data science and ML engineering challenges related to product classification, attribute extraction, trust and safety, and catalogue optimisation, empowering next-generation retail use cases.

The Data Science and ML Engineering community at Walmart Global Tech is active in most of the Hack events, utilising the petabytes of data at our disposal to build some of the coolest ideas. All the work we do at Walmart Global Tech will eventually benefit our operations and our associates, helping Customers Save Money to Live Better.

Responsibilities:

• Develop, train, and deploy AI/ML, NLP, and LLM models into production environments, with a focus on reliability and scalability.
• Conduct exploratory data analysis, build and curate datasets, run experiments, and evaluate model performance to support data-driven decisions.
• Help integrate data science solutions into current business processes.
• Follow and contribute to process standards and best practices in Machine Learning as applicable to the retail industry.
• Collaborate with senior team members and cross-functional stakeholders to translate business problems into ML solutions.
• Continuously learn and apply the latest research, tools, and techniques in AI/ML.
• Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.

Requirements:

• Master's or Bachelor's degree with 2+ years of relevant experience, or a PhD in a relevant discipline.
• Educational qualifications should preferably be in Computer Science or a strongly quantitative discipline.
• Hands-on experience building AI/ML models.
• Good programming skills across data science, statistical analysis, and the ML stack.
• Strong communication skills with an inclination to high ownership and commitment.
• Experience with, or strong interest in, deploying AI/ML solutions to production.
• Mandatory Skills: NLP, Computer Vision, Multimodal Modelling, Python.