Position Summary...

　　What you'll do...

　　The Senior Data Scientist in Intl Supply Chain will be responsible for leveraging mathematical optimization, simulation, AI/ML modeling to improve supply chain and last mile operations and decision-making processes. This role involves utilizing mathematical modeling, statistical analysis, and data-driven insights to optimize inventory management, demand forecasting, network optimization, replenishment, and logistics planning. This position will collaborate closely with the engineering, product, and business teams to deliver generalized, accurate, and scalable models that can serve across markets.

　　About the Team :

　　Our team is focused on building forecasting and optimization models to estimate inventory demand and placement, replenishment across supply chain along with building last mile delivery solutions.

　　Focusing on customer, associate and business needs, this team works with Walmart's International markets , which includes more than 5,200 retail units, operating in multiple countries such as Canada, Central America, Chile, China, India, Mexico and South Africa.

　　Focusing on customer, associate and business needs, this team works with Walmart International, which includes more than 5,200 retail units, operating in 23 countries such as Canada, Central America, Chile, China, India, Mexico, and South Africa to name a few.

　　What you'll do:

　　1. Lead the design, development, and implementation of OR (LP/MILP/IP) models and methodologies to solve complex supply chain and last mile problems.

　　2. Collaborate with stakeholders to identify opportunities in supply chain and perform data analysis, gather relevant information to develop mathematical models and algorithms and scale and deploy them in production systems

　　4. Apply optimization methods, statistical techniques, and AI/ML models to generate actionable insights.

　　6. Collaborate with Product , engineering and business teams to build and integrate models and into existing systems and ensure their seamless implementation.

　　7. Present research findings and insights to stakeholders, including senior management, in a clear and concise manner and collaborate with cross-functional teams to drive process improvements, optimize resource allocation, and enhance operational efficiency.

　　What you'll bring:

　　1. Strong knowledge of mathematical modeling, optimization techniques, simulation methodologies, and AI/ML models.

　　2. 2+ years of experience in building modular, re-usable, and scalable ML models and leveraging best practices in MLOps.

　　3. 2+ Experience with SQL, Python, CPLex, and Cloud technologies such as GCP, Azure as well as with Spark, Hive and TensorFlow etc.

　　4. 2+ years of experience in building large-scale retail demand forecasting, markdowns. models with deep learning and other ML models.

　　5. Expertise in applying OR techniques to complex business problems, preferably in a corporate or consulting environment.

　　6. Excellent problem-solving skills and the ability to think critically and analytically.

　　7. Strong communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical stakeholders.

　　About Walmart Global Tech

　　Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. 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:

　　Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, 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.

　　The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.

　　 Minimum Qualifications...

　　Outlined below are the required minimum qualifications for this position. If none are listed, there are no 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.

　　 Preferred Qualifications...

　　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)

　　 Primary Location...

　　PHYLLIS ST. N OF HWY 102, WEST SIDE OF STREET, BENTONVILLE, AR 72712, United States of America