Sr Data Scientist

We are looking for a Data Scientist to join our science team and develop state-of-the-art models to power Product Search and Recommendation across Walmart s multiple international markets. Our mission is to provide our customers with the most delightful user experience throughout their online shopping journey with us. We create powerful AI and ML powered solutions for highly intricate real-world problems. You will be working on these industry-defining problems and have the opportunity to push the frontiers of Search & Recommendation Science by advancing areas including AI, ML, NLP, Optimization, Algorithm and Customer-facing large system and service designs.

What you will do:

• Bring in bleeding-edge academic research and industry practices and demonstrate originality and creativity in developing novel solutions for Search or Recommendation Systems
• Partner with other data scientists, engineers and product managers to design, train, test and deploy machine learning models
• Work on projects with substantial ambiguity and translate business and engineering requirements to identify and define a clear roadmap to deliver the ML models
• Perform rigorous offline and A/B testing of your models and communicate your findings to technical and non-technical stakeholders, both verbally and through written communications
• You will help maintain models, improve them as needed to bring in cutting-edge research, within a highly scalable infrastructure
• You will also help new data scientist s onboarding and mentorship
• You are strongly encouraged to publish your research and novel findings in internal and external research and industry conferences and journals, and file patent applications

What you will bring:

• Have a MS/PhD in relevant technical degree (preferably Computer Science, Machine Learning, Operations Research, Applied Mathematics, Statistics, Engineering etc.) with 3+ years of relevant work experience.
• Must have a deep background in NLP, Search Science, Recommendation Systems, Machine Learning, Deep Learning, Optimization, Algorithm and Software development.
• It is a bonus to have prior knowledge of Search/Recommendation Systems related technology and Generative AI.
• Sound knowledge of Python, SQL, PySpark, Machine Learning Libraries, Big Data processing systems in cloud environment is expected.
• A track record of building ML models or delivering impactful customer-facing products.
• Experience of publications in peer-reviewed conferences and journals or patent filings.