Data Scientist

Position: (USA) Staff, Data Scientist
Position Summary...

What you'll do...

Chance to work on financial data for complex problems/challenges. Utilize LLMs/Genai systems and architectures to build and deploy state-of-the-art Genai systems. Our team collaborates closely with Finance teams to enhance financial planning and strategic decision-making through cutting-edge data-driven solutions. We specialize in a range of initiatives which provides actionable insights into trends and patterns and leveraging Generative AI (Genai) to produce concise, insightful summaries that empower decision-makers.

By integrating these innovative approaches, we strive to drive efficiency, accuracy, and impactful outcomes in financial operations.

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 , 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:

* Lead high-caliber team to build large-scale Genai systems

* Develop data science systems and tools for retail; e-commerce applications:

* Leverage LLMS to summarize and build large scale applications

* Establish cross-functional relationships to maintain win-win situation for the corporation

* Collaborate with various product stake holders and business owners to formulate and product ionize a solution

What you'll bring:
Master's degree or PHD in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 7+ years' experience in the related field. Must have qualifications...

* Strong solution architecture mindset, with the ability to apply AI/ML technologies to solve complex business problems.

* Experience with training and inference of large-scale AI models such as Large Language Models (LLMs), multimodal models, and reasoning models.

* Knowledge of advanced model optimization techniques, including quantization, pruning, distillation, Low-Rank Adaptation (Lora), and Parameter-Efficient Fine-Tuning (PEFT) for cloud deployment.

* Solid understanding of LLMs and Genai ecosystems, including GPT, Llama, Mistral, Claude, Gemini, AWS Sonnet, and related frameworks/tools.

* Hands-on experience with RAG (Retrieval-Augmented Generation), AI agent development, and frameworks such as Lang Chain, Langgraph etc.,

Great to have...

* Experience with Big Data processing and feature engineering using Spark

* Experience with training machine learning models through Cloud Services including Google Cloud Platform and Microsoft Azure

* Hands on experience of designing and training large DL models on GPU

Behavior qualifications...

* Problem solver with can-do attitude, not afraid of facing new problems, technical challenges, delivery pressures

* Ability to clearly define problems, models and constraints from informal and flexible business requirements

* Tech leadership with teamwork spirit, quick adaptation to new environment

* Form collaborative working environment.

* Demonstrated ability to manage multiple cross-functional initiatives, balancing competing priorities and deadlines.

* Comfortable working in ambiguous, rapidly changing environments, with strong problem-solving and adaptability.

* Highly motivated to demystify emerging technologies and drive adoption across teams and stakeholders.

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…