Our Team 

International Data Science team at Walmart Global Tech is focused on using the latest research in machine learning, statistics and optimization to solve business problems in assortment, pricing, sourcing, customer, supply chain, and replenishment areas for multiple countries within Walmart’s global operations. 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. 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 Data Scientist III for Walmart Global Tech, you’ll have the opportunity to  

• Drive data-derived insights across the wide range of retail divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives  

• Direct the gathering of data, assessing data validity and synthesizing 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 statistical models and machine learning algorithms for replication for future projects 

• Communicate recommendations to business partners and influencing future plans based on insights 

Your Responsibility 

• Play a key role to solve complex problems, pivotal to Walmart’s business and drive actionable insights from petabytes of data 

• Utilize product mindset to build, scale and deploy holistic data science products after successful prototyping 

• Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems 

• Lead an analytic solution module, or work as part of larger team in data science projects 

• Partner with senior team members to assess customer needs and define business questions 

• Clearly articulate and present recommendations to business partners, and influence future plans based on insights 

• Work with customer centric mindset to deliver high quality business driven analytic solution 

• Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving 

• Promote and support company policies, procedures, mission, values, and standards of ethics and integrity 

Our Ideal Candidate 

You are a technically strong and high performing individual with excellent communication skills, proven analytical skill set and strong customer focus. You stay updated with the latest research and technology ideas and have a passion to utilize innovative ways to solve problems. You are a good storyteller and able to simply articulate the intricacies of your models as well as explain your results clearly to stakeholders. 

What You Will Bring

• Bachelor's with > 5 years of relevant experience OR Masters with > 3 years of relevant experience 

• Experience in Analyzing the Complex Problems and translate it into data science algorithms 

• Experience in machine learning, supervised and unsupervised:  Forecasting, Classification, Data/Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Random Forest, Search Algorithms, Neural Networks, Deep Learning Algorithms 

• Experience in statistical learning: Predictive & Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series, Dynamic/Causal Model, Statistical Learning, Guided Decisions, Topic Modeling 

• Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data                                                                                                                        

• 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.                                  

• Strong Experience in Python, PySpark  

• Google Cloud platform, Vertex AI, Kubeflow, model deployment  

• Strong Experience with big data platforms – Hadoop (Hive, Map Reduce, Scala) 

• Experience with BigQuery, SQL and relational databases, data warehouse 

• Experience with Visualization of DS products using one or more of Tableau, PowerBI, Looker, etc. 

Additional Preferred Qualifications: 

• Domain Knowledge of one or more divisions in Retail, preferably in Catalog management and Merchandising 

• Published papers or given talks in leading academic and research journals 

• Published papers or given talks in Data Science Forums 

• Hold data science related patents 

• Experience with GPU/CUDA for computational efficiency