Staff, Data Scientist | Demand Estimation Engine A...

Staff Data Scientist - Demand Estimation Engine Applied AI

As a member of the Demand Estimation Engine Applied AI team, your primary role will be to develop and enhance demand forecasting models that leverage advanced AI techniques. These models are crucial to various aspects of our Walmart business operations, including e-commerce and store networks. Your work will directly influence inventory placement, store replenishment strategies, and other critical components of our supply chain. The ideal candidate is a data-driven problem solver with a strong background in AI and machine learning, who can translate complex data into actionable business strategies. Your ability to collaborate with cross-functional teams and communicate complicated concepts to non-technical stakeholders will be key to your success in this role.

About Team: Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.

What you'll do: Walmart's Demand Estimation Engine Applied AI team is seeking a full stack Staff Data Scientist with expertise in Advanced Machine Learning, Deep Learning and Machine Learning Engineering to drive the ML system and roadmap to enhance Walmart's Demand Estimation Engine. As a Tech Lead, this role is expected to bring experience in Data Science e-commerce, demand estimation and forecasting. You will play a crucial role in end-to-end AI product development and deployment, mentoring and coaching other data scientists, and communicating with the product and engineering team.

What you'll bring:

• Master's degree in computer science, Statistics, Optimization, or related field + 7 years' experience in a machine learning/deep learning/machine learning engineering related field OR PHD with minimum of 3+ years of industry experience.
• Technical expertise in machine learning, deep learning, statistical analysis, machine learning engineering and software development.
• Proficient in data mining, machine learning, and deep learning packages in Python/Pytorch/Keras/Pytorch.
• Experience working with large data sets and cloud computing (Hive, Spark, PySpark, GCP, or Azure).
• Proficient in coding SQL, Python, Java, or JavaScript.
• A proven track record of leading innovation such as Medium Blog, patents, or conference presentation is a plus.
• Ability to work in a fast-paced, iterative development environment.
• Good communication skills, ability to work with cross-functional teams of technical and non-technical associates.
• Experience providing technical and architectural guidance in a technical lead or architect role.

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 experts, 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: 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.

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 field

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...

640 W California Avenue, Sunnyvale, CA 94086-4828, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.