Senior, Data Scientist

What you'll do:

Design & Deploy AI Agents: Lead the development of agentic AI systems and AI agents, building capabilities such as reasoning, orchestration, memory, RAG, and automated evaluation. Integrate with Business Systems: Build AI agents that can connect to tools, APIs, and enterprise systems, ensuring seamless integration into real-world workflows. Evaluation & Safety: Establish evaluation frameworks (automated + human-in-the-loop) to measure reliability, robustness, factual grounding, and safety of AI agents in production. Production-Grade Deployment: Architect, prototype, and deploy AI agents and ML systems into large-scale production environments using modern MLOps and observability practices. Prompting & Fine-Tuning: Apply advanced prompt engineering, instruction design, and parameter-efficient fine-tuning (LoRA, PEFT, etc.) to optimize LLM behavior for business use cases. Advance Traditional ML/DL: Apply statistical modeling, causal inference, and classical ML and Deep Learning methods to complement LLM-based approaches where needed. Mentor & Lead: Provide technical guidance to junior scientists, setting standards for building, testing, and deploying AI agents. Responsible AI: Partner with product and business stakeholders to ensure AI agents are designed with transparency, ethics, and governance at the forefront.

What you'll bring:

• Agentic AI Expertise: Proven hands-on experience building and deploying AI agents in production, with deep knowledge of reasoning frameworks, orchestration tools, and memory systems.
• Evaluation & Safety: Experience creating evaluation pipelines and safety guardrails for AI agents, including methods to detect hallucination and ensure factual accuracy.
• Framework Proficiency: Familiarity with agent orchestration frameworks (e.g., LangChain, LlamaIndex, Haystack) and vector databases (FAISS, Pinecone, Weaviate) for RAG and memory.
• Strong ML Foundations: Solid grounding in machine learning, statistics, and causal inference, with experience applying both traditional ML and modern LLM-based methods. Understanding of advance ML topics viz. Deep learning (ENN, CNN, RNN, etc.), GAN, Transformers, NLP;
• Prompting & Fine-Tuning: Expertise in prompt engineering, system instruction design, and fine-tuning techniques (LoRA, PEFT, RLHF/RLAIF a plus).
• MLOps & Observability: Strong background in CI/CD pipelines, monitoring, logging, and observability for deployed AI/ML systems.
• Big Data: Experience working with large datasets, finding insights, and telling stories using data. Good knowledge in working with distributed datastores (e.g., SQL, NoSQL), and Big Data and Cloud technologies like GCP BQ.
• Cloud: Experience with E2E pipeline development experience in cloud environment, preferably with GCP including vertex AI, Dataproc, Airflow, etc.
• Programming Skills: Proficiency in Python, SQL, PyTorch/TensorFlow, HuggingFace, and distributed computing frameworks (PySpark).
• Business Acumen: Ability to translate business challenges into AI solutions and communicate technical concepts clearly to non-technical partners.
• Leadership & Communication: Experience mentoring data scientists and collaborating cross-functionally in agile environments.
• Preferred: Experience in retail and merchandising domain (assortment, pricing, space, planogram etc).

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 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 Sam's Club, 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, parental leave, family care leave, bereavement, jury duty, and voting. 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.

- Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

Live Better U is a company 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.

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...

2101 Se Simple Savings Dr, Bentonville, AR 72712-4304, 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.

Client-provided location(s): Fayetteville, AR

Job ID: Walmart-8261_R-2284649-f79ba2c5113fda1e53958e5a00d43e8d

Employment Type: OTHER

Posted: 2025-09-06T20:34:08