PRINCIPAL, DATA SCIENTIST

Position Summary... What you'll do... Role: Principal, Data Scientist Experience: 15 - 20 years Location: Bangalore About EBS team: Enterprise Business Services is invested in building a compact, robust organization that includes service operations and technology solutions for Finance, People, Associate Digital Experience. Our team is responsible for design and development of solution that knows our consumer's needs better than ever by predicting what they want based on unconstrained demand, and efficiently unlock strategic growth, economic profit, and wallet share by orchestrating intelligent, connected planning and decisioning across all functions. We interact with multiple teams across the company to provide scalable robust technical solutions. This role will play crucial role in overseeing the planning, execution and delivery of complex projects within team 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. About Team The data science team at Enterprise Business Services Pillar at Walmart Global Tech focuses on using the latest research in machine learning, statistics, and optimization to solve business problems. We mine data, distill insights, extract information, build analytical models, deploy Machine Learning algorithms, and use the latest algorithms and technology to empower business decision-making. In addition, we work with engineers to build reference architectures and machine learning pipelines in a big data ecosystem to productize our solutions. Advanced analytical algorithms driven by our team will help Walmart to optimize business operations, business practices and change the way our customers shop. The data science community at Walmart Global Tech is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All the work we do at Walmart Labs will eventually benefit our operations & our associates, helping Customers Save Money to Live Better. What You Will Do As a Staff Data Scientist for Walmart Global Tech, you'll have the opportunity to Drive data-derived insights across a wide range of retail & Finance divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives Direct the gathering of data, assess data validity and synthesize data into large analytics datasets to support project goals Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights Build and train AI/ML models for replication for future projects Deploy and maintain the data science solutions Communicate recommendations to business partners and influence future plans based on insights Consult with business stakeholders regarding algorithm-based recommendations and be a thought-leader to develop these into business actions. Closely partners with the Senior Manager & Director of Data Science to drive data science adoption in the domain Guides. data scientists, senior data scientists & staff data scientists across multiple sub-domains to ensure on-time delivery of ML products Drive efficiency across the domain in terms of DS and ML best practices, ML Ops practices, resource utilization, reusability and multi-tenancy. Lead multiple complex ML products and guide senior tech leads in the domain in efficiently leading their products. Drive synergies across different products in terms of algorithmic innovation and sharing of best practices. Proactive identification of complex business problems that can be solved using advanced ML, finding opportunities and gaps in the current business domain Evaluates proposed business cases for projects and initiatives What You Will Bring Master's with > 16 years OR Ph.D. with > 15 years of relevant experience. Educational qualifications should be Computer Science/Statistics/Mathematics or a related area. Minimum 10 years of experience as a data science technical lead Ability to lead multiple data science projects end to end. Deep experience in building data science solution in areas like fraud prevention, forecasting, shrink and waste reduction, inventory management, recommendation, assortment and price optimization Deep experience in simultaneously leading multiple data science initiatives end to end from translating business needs to analytical asks, leading the process of building solutions and the eventual act of deployment and maintenance of them Strong experience in machine learning: Classification models, regression models, NLP, Forecasting, Unsupervised models, Optimization, Graph ML, Causal inference, Causal ML, Statistical Learning, experimentation & Gen-AI In Gen-AI, it is desirable to have experience in embedding generation from training materials, storage and retrieval from Vector Databases, set-up and provisioning of managed LLM gateways, development of Retrieval augmented generation based LLM agents, model selection, iterative prompt engineering and finetuning based on accuracy and user-feedback, monitoring and governance. Ability to scale and deploy data science solutions. Strong Experience with one or more of Python and R. Experience in GCP/Azure Strong Experience in Python, PySpark Google Cloud platform, Vertex AI, Kubeflow, model deployment Strong Experience with big data platforms Hadoop (Hive, Map Reduce, HQL, Scala) Experience with GPU/CUDA for computational efficiency

Walmart is the U.S. largest private employer. Our policies, practices, and programs promote fairness and the same treatment for all associates. Everyone in our workforce has the same access to opportunities for growth, development, and advancement. We transparently report on our workforce twice a year and we have associate resource groups to further engagement, networking, connection and a sense of community. Business & Customers: We provide an assortment of products and services that meet the unique needs of our customers and members while strengthening our connection to the communities we serve. We operate sensory friendly hours in all stores from 8 a.m. to 10 a.m. daily and offer Caroline's Carts - a specially designed shopping cart for children and adults with disabilities. Our focus every day is how we can best serve our customers with quality food and goods at everyday low prices, which are 10-25% lower than those of competitors. Communities: Walmart thrives when we take a shared value approach, complementing business with philanthropy to strengthen the communities where we operate and prioritize issues that are meaningful to our business and all customers. Walmart is one of the most charitable companies in the Fortune 500. Last year we gave away over 8% profits through a combination of in-kind and cash gifts totaling more than $1.7 billion.