Senior, Data Scientist (Or)
IN KA BANGALORE Home Office Building 10, India
Walmart
What’s a career at Walmart or Sam’s Club like? To find out, explore our culture, our opportunities and the difference you can make.Position Summary...
What you'll do...
About Team:
The Supply Chain & Store Ops Data Science team is a highly motivated group of applied scientists and machine learning engineers dedicated to solving sophisticated and high-impact problems that power Walmart’s supply chain network. We leverage advanced algorithms in operations research and machine learning to tackle challenging problems like vehicle routing problem and trip dispensing optimization.
What you’ll do:
Design, development, and deployment of optimization algorithms and machine learning models, with the consideration of optimality and computational complexity.
Build production models on large-scale datasets to help Walmart supply chain business use cases, such as vehicle routing optimization and dispensing time optimization by utilizing statistical modeling, machine learning and optimization techniques.
Collaborate closely with cross-functional teams to understand business objectives, requirements, and constraints.
Build data pipeline from multiple sources and extract data insight with data exploration and visualization techniques.
Explore and latest trends of machine learning and optimization techniques to come up with solutions for complex data challenges.
What you’ll bring:
Ph.D. degree in Operations Research, Industrial Engineering, Statistics, Computer Science, Machine Learning, AI, or other quantitative fields with 2+ years of experience; or Master’s degree in the same domains with 5+ years of experience post-grad school.
Solid knowledge in advanced optimization algorithms including mixed integer programming models, network flows models, heuristics, meta-heuristics and etc.
Knowledge in developing flexible models based on Vehicle Routing, Scheduling and Graph Theory to solve for challenging combinatorial optimization problems.
Passionate about building scalable, reliable data driven products.
Ability to translate business needs into analytical frameworks.
Hands-on development experience with the ability to write production code in object-oriented languages like Java, C++, or Python.
Strong analytical skills and experience with SQL.
Proven track record of building and deploying algorithms/models in production in a real-world setting.
Demonstrated ability to drive projects from conception to completion in a fast-paced, dynamic environment.
Excellent communication and leadership skills with the ability to influence and inspire cross-functional teams.
Knowledge of supply chain and transportation operation is a plus.
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 with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, 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.
Belonging
We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.
At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.
Equal Opportunity Employer
Walmart, Inc., is an Equal Opportunities 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 unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.
Minimum Qualifications...
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.Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Primary Location...
4,5,6, 7 Floor, Building 10, Sez, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Economics Engineering Industrial Java Machine Learning Mathematics ML models Python Research SQL Statistical modeling Statistics
Perks/benefits: Career development Flex hours Flex vacation Health care Parental leave
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