Position Summary...
What you'll do...
**Please note that Immigration Sponsorship is not available for this role.**
We are looking for an experienced Staff Data Scientist to join our team and help develop a sophisticated inventory placement model. This model plays a vital role in efficiently distributing items across our network of warehouses and stores by considering various inputs such as forecasts, network costs, and structure. At Walmart Global Tech, we are leading the way in revolutionizing retail through advanced technology and data science. Our team of experts is committed to solving current supply chain challenges and conducting research and development to create models that address the future requirements of our complex omni-channel international business.
About Team:
The Dynamic Inventory Placement team aims to build and deploy a large-scale automated solution for item placement and safety stock calculation across the Walmart network. This team is part of the OneDemand Applied AI Organization, a group of impact-driven researchers dedicated to pursuing scientific and scalability excellence to ensure end-to-end optimality in Walmart's supply chain and store-warehouse network. On the Item and Inventory team, we ensure our customers get their orders when and where they want them, in a frictionless, predictable manner. What's more, we create reusable SaaS products and services that manage our catalog and power end-to-end inventory management, including replenishment, fulfillment, and transportation. With end-to-end inventory management, from replenishment and fulfillment to transportation, we give our drivers and partners the tools they need to get the right items to customers on time and in the right packaging.
What you'll do:
- Model Development: Design, develop, and implement advanced algorithms for dynamic inventory placement.
- Data Analysis: Analyze large datasets to extract actionable insights and refine model inputs, including forecasts and cost structures.
- Optimization and Machine Learning: Employ optimization and machine learning techniques in inventory placement to improve efficiency and reduce costs across the network.
- Collaboration and Stakeholder Management : Work closely with cross-functional teams, including data scientists, engineers, and supply chain specialists, merchandisers, and product managers to ensure seamless integration and implementation of models.
What you'll bring:
- Educational Background: Master's degree in Data Science, Operations Research, Industrial Engineering, Computer Science, or a related fields.
- PhD: Doctorate degree in Data Science, Operations Research, Industrial Engineering, Computer Science, or a related fields with 5+ years of experience post grad school
- Technical Skills: Outstanding skills in programming in Python, SQL/Spark; statistics, forecasting, data analytics, machine learning, and optimization tools.
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.
Walmart’s culture is a competitive advantage, and it’s fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates.
Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey.
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 JobDescription can be made available as part of the hiring process.
You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
For information about PTO, see https://one.walmart.com/notices.
Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $143,000.00-$286,000.00
Additional compensation includes annual or quarterly performance bonuses.
Additional compensation for certain positions may also include:
- Stock
Minimum Qualifications...
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 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related fieldPreferred 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, PhD 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), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.Primary Location...
840 W California Ave, Sunnyvale, CA 94086-4828, United States of AmericaOther Jobs from Walmart
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