Staff, Data Scientist
(USA) BELLEVUE WALMART GLOBAL TECH WA BELLEVUE Home Office, United States
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Full Time Senior-level / Expert USD 132K - 264K
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...
Position Summary...
Walmart's Enterprise Business Services (EBS) is a powerhouse of seven exceptional teams delivering world-class technology solutions and services making a profound impact at every level of Walmart. As a key part of Walmart Global Tech, our teams set the bar for operational excellence and leverage emerging technology to support millions of customers, associates, and stakeholders worldwide. Joining EBS means embarking on a journey of limitless growth, relentless innovation, and the chance to set new industry standards that shape the future of Walmart.
Walmart’s Associate Listening and Relations is a full-stack Generative AI team within the People function, dedicated to empowering over 2.2 million associates globally through AI-driven solutions that enhance productivity, well-being, and a sense of belonging. The team builds advanced systems such as a RAG-based knowledge Q&A tool, agentic HR automation interfaces, and text-to-SQL analytics to streamline access to information and actions. They are seeking a Senior Software Engineer to drive observability, automation, and scalability across these systems, leveraging expertise in Python, cloud platforms, distributed systems, and MLOps to deliver robust, personalized, and scalable experiences that support Walmart’s evolving workforce needs.
What you will do
- Cross-functional Collaboration: Work with product, science, and peer engineering teams to bring products to life.
- Develop Scalable and Personalized Experiences: Utilize your understanding of product requirements, GenAI technology stack, and software architecture to enhance associate experiences.
- Partner with Leaders: Collaborate with Feedback platform product and business leaders to ensure alignment and integration of ML solutions into existing software and systems.
- Manage Software Development Dependencies: Work with product, science, information security, and peer engineering teams to identify and manage dependencies effectively, ensuring streamlined development processes.
- Cloud-Based Architectures: Leverage or build cloud-based architectures, technologies, and platforms to deliver optimized ML models at scale.
- Model MLOps Best Practices: Implement CI/CD best practices, including test automation, automated deployments, model retraining, and monitoring to ensure the successful deployment and continuous operation of ML systems and pipelines.
- Stay Updated: Keep abreast of the latest state-of-the-art techniques in machine learning applications/models and foster a culture of continuous learning within the organization.
What you will bring
- Experience with Large Language Models (LLMs).
- 5-7 years of experience as technical on-hands data scientist building and deploying solutions.
- Solid understanding of decision trees, random forests, gradient boosting (e.g., XGBoost), with strong understanding of interpretability, scalability, and hyperparameter tuning
- Proven expertise in RAG, CAG, KAG architectures, including advanced chunking strategies, hybrid search, and reranking
- Python Expertise: A deep understanding of Python and its principles, with the ability to apply them effectively.
About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. Thats what we do at Walmart Global Tech. Were 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.
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 unique styles, experiences, identities, ideas and opinions while being welcoming of all people.
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 $132,000.00-$264,000.00
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...
10500 Ne 8Th St, Bellevue, WA 98004, United States of AmericaTags: Architecture CI/CD Classification Computer Science Distributed Systems Econometrics Economics Engineering Generative AI LLMs Machine Learning Mathematics ML models MLOps Open Source PhD Pipelines Python R RAG Research Scala Scikit-learn Security Spark SQL Statistics TensorFlow XGBoost
Perks/benefits: 401(k) matching Career development Competitive pay Equity / stock options Health care Insurance Medical leave Parental leave Salary bonus Startup environment
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