Position Summary...
What you'll do...
Our People.AI strategy aims to empower our People business and associates by converting our people data, business processes and the knowledge and experience of our HR subject matter experts into search experiences, recommendations, outlier alerts and talent segmentations. People.AI is building a GenAI powered platform with multitude of services that will unlock the potential of Walmart’s products and to increase productivity and boost associate satisfaction. This platform will democratize information access in a seamless fashion, allowing our customers to make better decisions quicker. All of this will be done in a federated and data protected approach for internal use, which means that users can query using internal and personal data without worry that they will be exposing proprietary or personal information to an outside party. A core capability of these services will be a unified and extensible ML inferencing platform, model management, and ML-Ops, to accelerate time-to-market and maintain quality of service. You will have numerous opportunities to collaborate with Senior data scientists to design, architect, and build AI/ML model and model systems, Machine learning engineers to deploy, operate, and optimize scalable solutions & Product managers to design user journeys, feedback loop and analyse user telemetry.
About Team:
The Enterprise People Technology team supports the successful deployment and adoption of new People technology across the enterprise. As a Fortune #1 company, our work impacts millions of associates globally. We strive to continuously improve people technology and products to help managers and associates so they can focus on what matters most - supporting our customers and members. People Technology is one of the major segments of Walmart Global Tech’s Enterprise Business Services, which is invested in building a compact, robust organization that includes service operations and technology solutions for Finance, People, and the Associate Digital Experience.
What you'll do:
Lead Technical Role in Building Solutions:
- Develop innovative data science solutions in collaboration with product managers and business stakeholders to address complex business problems across Walmart.
End-to-End Solution Delivery:
- Own and deliver comprehensive solutions by applying advanced machine learning algorithms and complex statistical models on large datasets.
Product Mindset and Deployment:
- Utilize a product-centric approach to build, scale, and deploy holistic data science products, ensuring successful prototyping and practical problem-solving.
Communication and Data Storytelling:
- Clearly communicate complex models, analyses, and recommendations to both technical and non-technical audiences through rich visualization and presentations
Mentorship and Best Practices:
- Coach junior data scientists, stay updated with industry best practices, and drive innovation by contributing to publications and patents, while ensuring adherence to Walmart’s standards and ethical practices.
What you'll bring:
Technical Proficiency:
- Hands-on experience with data science, cloud computing, and big data technologies.
- Strong programming skills in Python and familiarity with machine learning frameworks such as Scikit-learn, XGBoost, TensorFlow, or PyTorch. Solid understanding of Natural Language Processing (NLP) techniques.
- Nice-to-have: Experience with Generative AI (GenAI) technologies.
Statistical and Mathematical Expertise:
- Deep understanding of linear algebra and probability theory fundamentals.
- Extensive experience with statistical analysis and the ability to identify trends, patterns, and outliers in large datasets.
Big Data Ecosystem Experience:
- Proficiency in SQL/Hive and working with Spark.
- Ability to navigate and analyze large volumes of data within a big data ecosystem.
Communication and Collaboration:
- Ability to effectively communicate complex models and analyses to both technical and non-technical audiences.
- Experience in publishing research, presenting findings, and driving innovation through various mediums.
Full-Stack Data Science and Agile Development:
- Proven track record of taking data science solutions from prototype to production.
- Experience working in agile environments and managing data science sprint projects.
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 Job Description can be made available as part of the hiring process.
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
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 $90,000.00-$180,000.00
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- 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), 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...
508 Sw 8Th St, Bentonville, AR 72712, United States of America
