at Walmart
Full TimeAbout Team:
Supply Chain Technology(SCT) Data Science team at Walmart is focused on using the latest research in Machine learning, Time Series Forecasting and Computer Vision to solve business problems in supply chain process flow. We build time series forecasting models and classification algorithms for next gen use cases to empower decision-making, solve optimization problems and work with engineering team to build reference architectures and pipelines in a big data ecosystem. Advanced analytical algorithms driven by our team help Walmart to optimize supply chain operations, business practices, reduce cost and pass those benefits to our customers.
You will be contributing towards building forecasting solutions for business. You will have to collaborate with team of data scientists & business stake holders , with a common vision towards developing this for SCT.
What you will do:
As a Senior Data Scientists at Walmart , you’ll have the opportunity to
Play a key role to solve complex problems, pivotal to Walmart’s business and drive actionable insights from petabytes of data
Solve problems using world class algorithms, by researching and implementing these to production using best practices to handle scale and latency requirements
Develop/Review the production level code for implementation of statistical & forecasting algorithm
Research, learn & adapt new technologies to solve problems & improve existing solutions
Partner with team and stake holders to assess customer needs and define business questions
Adopt Wal-Mart’s quality standards and develop and recommend process standards and best practices across the retail industry
What you will bring:
Masters in Engineering/Technology or MSc with 6-9 years of relevant experience
Problem solver at heart with experience in Machine learning, Statistical modelling and Forecasting
Proficiency with Python/PySpark/BiqQuery etc
Proficiency with ML libraries sklearn/pytorch/tensorflow etc
Cloud friendliness (GCP/Azure etc) to leverage distributed computing/scalability
Working knowledge of GenAI will be a plus
Good communication/influencing/mentoring skills with inclination to high ownership and commitment
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 2.3 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. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail
Flexible, hybrid work:
We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.
Benefits:
Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.
Equal Opportunity Employer:
Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people.
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Minimum Qualifications:Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
