Sam's Club
Overview
Senior, Data Scientist role at
Sam's Club . Base pay range:
$90,000.00/yr - $180,000.00/yr . This range is provided by Sam's Club. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Position Summary and responsibilities describe the design, development, and deployment of AI agents powered by LLMs and ML/DL models, with production-grade implementation to drive measurable business impact in retail. 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, retrieval-augmented generation (RAG), and automated evaluation. Integrate with business tools, APIs, and enterprise systems to fit real-world workflows. Evaluation & Safety: Establish evaluation frameworks (automated and 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/DL 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: Hands-on experience building and deploying AI agents in production, with 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 traditional ML and modern LLM-based methods. Prompting & Fine-Tuning: Expertise in prompt engineering, system instruction design, and fine-tuning techniques (LoRA, PEFT, RLHF/RLAIF a plus). MLOps & Observability: Experience with CI/CD, monitoring, logging, and observability for deployed AI/ML systems. Big Data: Experience working with large datasets, distributed datastores (SQL, NoSQL), and cloud technologies (e.g., GCP, BigQuery). Cloud: End-to-end pipeline development in cloud environments, preferably GCP including Vertex AI, Dataproc, Airflow, etc. Programming: Proficiency in Python, SQL, PyTorch/TensorFlow, HuggingFace, and distributed computing (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: Retail and merchandising domain experience (assortment, pricing, space, planogram). 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 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. We are people-led and tech-empowered. Walmart’s culture emphasizes collaboration and rapid alignment, with hubs and global offices described in the full job description. Benefits include compensation, performance-based bonus awards, and a range of health, retirement, and leave benefits. See the full benefits and eligibility information in the company materials. Seniority level
Mid-Senior level Employment type
Part-time Job function
Engineering and Information Technology Industries
Retail Referrals increase your chances of interviewing at Sam's Club. Get notified about new Senior Data Scientist jobs in Bentonville, AR.
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Senior, Data Scientist role at
Sam's Club . Base pay range:
$90,000.00/yr - $180,000.00/yr . This range is provided by Sam's Club. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Position Summary and responsibilities describe the design, development, and deployment of AI agents powered by LLMs and ML/DL models, with production-grade implementation to drive measurable business impact in retail. 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, retrieval-augmented generation (RAG), and automated evaluation. Integrate with business tools, APIs, and enterprise systems to fit real-world workflows. Evaluation & Safety: Establish evaluation frameworks (automated and 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/DL 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: Hands-on experience building and deploying AI agents in production, with 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 traditional ML and modern LLM-based methods. Prompting & Fine-Tuning: Expertise in prompt engineering, system instruction design, and fine-tuning techniques (LoRA, PEFT, RLHF/RLAIF a plus). MLOps & Observability: Experience with CI/CD, monitoring, logging, and observability for deployed AI/ML systems. Big Data: Experience working with large datasets, distributed datastores (SQL, NoSQL), and cloud technologies (e.g., GCP, BigQuery). Cloud: End-to-end pipeline development in cloud environments, preferably GCP including Vertex AI, Dataproc, Airflow, etc. Programming: Proficiency in Python, SQL, PyTorch/TensorFlow, HuggingFace, and distributed computing (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: Retail and merchandising domain experience (assortment, pricing, space, planogram). 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 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. We are people-led and tech-empowered. Walmart’s culture emphasizes collaboration and rapid alignment, with hubs and global offices described in the full job description. Benefits include compensation, performance-based bonus awards, and a range of health, retirement, and leave benefits. See the full benefits and eligibility information in the company materials. Seniority level
Mid-Senior level Employment type
Part-time Job function
Engineering and Information Technology Industries
Retail Referrals increase your chances of interviewing at Sam's Club. Get notified about new Senior Data Scientist jobs in Bentonville, AR.
#J-18808-Ljbffr