Walmart is the largest retail corporation in the world and the Merchant Tech Data Science team is disrupting and revolutionizing the establishment by being more data driven in their analysis and integrating Machine Learning algorithms to get a more comprehensive understanding of details missed by humans. We extend our reach to 4000 stores across US for testing and deploying sophisticated models of all kinds for every facet or step during the retail supply chain lifecycle. The sophistication afforded by machine learning algorithms allows for more segmentation, which allows for more detailed and descriptive insights. In attempting this, we are also reshaping the attitude of the business towards adopting and trusting AI to be most impactful based on the amount of historical data and investment required.
There is a wide gamut of challenges and the obstacles are numerous to shift the thinking between solving for customers’ needs in physical stores versus e-commerce. The challenge of employing ML techniques in retail at such a wide scale, across varied categories of items, presents a great opportunity for creative solutions. The Merch Tech Data Science team tackles this task and it’s problems at multiple fronts.
Machine learning algorithms can tell a more complete story to identify anomalies and pinpoint each step of the process along the supply chain. Human bias and guesswork is eliminated, and this is applicable for any stage, be it warehouse processing or vendor management. We work on building stable automated pipelines to take care of these issues.
The goals of this team are to generate tangible insights from data collected across multiple channels and to use algorithms and models that can process and learn from these huge datasets to make actionable predictions and recommendations.
About Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. That’s what we do at Walmart Global Tech. We’re a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world’s largest retailer, delivering innovations that improve how our customers shop and empower our 2.2 million associates. To others, innovation looks like an app, service or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human-led is our true disruption.
Working virtually this year has helped us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives and spend less time commuting. Today, we are reimagining the tech workplace of the future by making a permanent transition to virtual work for most of our team. Of course, being together in person is an important part of our culture and shared success. We’ll collaborate in person at a regular cadence and with purpose.
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)