STAFF, DATA SCIENTIST

• Design and scale ML solutions using advanced techniques in NLP, computer vision, and deep learning to solve complex retail problems at Walmart scale.
• Collaborate cross-functionally with engineering, product, and science teams to build impactful, production-ready models and integrate them into business processes.
• Drive innovation through rapid experimentation, PoC development, and continuous improvement using the latest research and technologies.
• Measure and optimize performance by defining model metrics, tracking business impact, and applying statistical methodologies for large-scale data analysis.
• Contribute to the AI community by publishing research, presenting at top-tier conferences, and representing Walmart at external forums top tier ML/AI conferences such as NIPS, ICML, AAAI and COLT
  • Participate and speak at various external forums such as research conferences and technical summits.
  • Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.

Educational Background: Bachelor s (10+ years) Master s (>8 years) or Ph.D. (>5 years) in Computer Science, Statistics, Applied Mathematics, or related field.

Skills Expected from Work Experince:

• API development on modular services for data preprocessing, model inference and LLM gateway integration.
• Strong foundation in ML concepts, with hands-on experience in NLP, computer vision, and transformer-based models like BERT, ViT, and LLMs; skilled in fine-tuning and applying these models to business problems.
• Familiarity with cloud platforms (GCP, AWS, or Azure), Kubeflow, and MLOps.
• Experience in analysing complex problems and translating them to data science solutions with due attention to computational efficiency and scale.
• Knowledge in statistical methodologies to be able to measure metrics of large dataset and leveraging statistical based sample methods.
• Worked with at least one mainstream machine learning framework such as Tensor Flow and PyTorch
• Experience with debugging skills, RCA and stakeholder management.
• Experience working with big data - identifying trends, patterns, and outliers in large volumes of data.
• Working Experience with SQL and relational databases
• Domain Knowledge: Retail eCommerce
• Experience working with big data - identifying trends, patterns, and outliers in large volumes of data.