at Walmart
Full TimeAbout Team:
The Enterprise Business Services supports the successful deployment and adoption of new People technology, Finance and Risk Technologies 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. Walmart Global Tech’s Enterprise Business Services, which is invested in building a compact, robust organization that includes technology solutions for Transaction & Risk Technology, Finance, People, and the Associate Digital Experience.
What you will do:
As a Distinguished Data Scientist with specialization in GenAI and Agentic AI, your role will be pivotal in:
- Leading the formulation of strategies and roadmaps for the design, development, and deployment of AI/ML, NLP, and GenAI models, ensuring their seamless transition into production environments and guaranteeing their reliability and scalability.
- Constructing and fine-tuning cutting-edge large language models (LLMs) by leveraging Walmart's vast datasets.
-Working with a team of Data scientists and engineers in solving intricate AI/ML challenges through research and development, pushing the limits of innovation and making groundbreaking contributions to the field.
- Overseeing the entire lifecycle of projects, from inception and data collection to model prototyping and deployment, while effectively managing stakeholder relationships and facilitating cross-functional communication.
- Collaborating extensively with product and engineering leaders to accelerate innovations in discovery experiences, utilizing insights, frameworks, machine learning prototypes, and emphasizing the strategic importance of AI initiatives.
- Upholding and enforcing rigorous standards, governance, and best practices in AI/ML model development, ensuring strict compliance with model and data governance standards.
- Enhancing external reputation by publishing your team’s work in prestigious AI/ML conferences and nurturing partnerships with academic institutions.
- Adhering strictly to Walmart’s policies, procedures, mission, values, standards of ethics, and integrity.
- Designing end-to-end system architecture for GenAI/AI/ML and data-intensive applications, setting new benchmarks in the industry.
- Leading, managing, and mentoring a team of data scientists, helping them grow professionally and enhance their business understanding.
- Developing and deploying robust, production-grade real-time/batch machine learning services that set industry benchmarks.
- Collaborating with product managers to design user journeys, feedback loops and analyze user telemetry, thus creating seamless user experiences.
- Identifying or proposing innovative AI/ML use-cases to business teams to boost business processes, and developing quick MVPs/POCs to enable stakeholders to make data-driven decisions.
What you'll bring:
Some of the skills needed for this role are but not limited to - includes a mix of Engineering, Algorithms, Data Science, Machine Learning, and Artificial Intelligence:
-GenAI: understanding of usecases in developing and implementing AI models and algorithms.
-Python: Knowledge of Python, including libraries such as NumPy, Pandas, and Scikit-learn.
-Apache Spark: Experience with big data processing frameworks like Apache Spark.
-Scala: Knowledge of Scala for data processing and analysis.
-Machine Learning: Expertise in machine learning techniques and frameworks such as TensorFlow, Keras, and PyTorch.
-Data Science: Strong foundation in data science principles, including statistical analysis, data visualization, and data manipulation.
-Algorithms: Ability to design and implement efficient algorithms for data processing and analysis.
-Engineering: Experience in software engineering practices, including version control, testing, and deployment.
About Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. That’s what we do at Walmart Global Tech. We’re a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world’s largest retailer, delivering innovations that improve how our customers shop and empower our 2.3 million associates. To others, innovation looks like an app, service or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human led is our true disruption.
Ways of Working
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.
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 to 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.
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 6 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 4 years' experience in an analytics related field. Option 3: 8 years' experience in an analytics or related field.Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
