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Walmart Canada · 1 week ago

(USA) Senior, Data Scientist

Bentonville, AR

Full-time

Onsite

Mid, Senior Level

$90K/yr - $180K/yr

5+ years exp

Walmart Inc. is a leading global retailer, and they are seeking a Senior Data Scientist to join their People.AI team. In this role, you will develop and deploy AI/ML solutions to enhance the associate experience through intelligent conversational interfaces and personalized support systems.

DeliveryRetailShopping

Responsibilities

Develop LLM-powered intelligent experiences that interpret and generate insights from both tabular and unstructured data

Build and optimize personalized Q&A systems using large language models, enabling context-aware responses tailored to user needs

Design and enhance conversational talent recommendation systems, combining autonomous agent architectures with personalized recommendation algorithms

Advance traditional recommendation systems by evolving them from simple ranked lists to multi-topic, interactive experiences that better reflect user intent

Construct multi-agent intelligent workflows that translate natural language inputs into complex, goal-directed task sequences

Collaborate within a highly cross-functional team, including data scientists, machine learning engineers, product managers, and UX designers

Partner with fellow data scientists to design, prototype, and iterate on AI/ML models and system architectures

Work closely with machine learning engineers to deploy, monitor, and optimize scalable AI/ML solutions in production environments

Collaborate with product managers to design intuitive user experiences, define feedback loops, and analyze user telemetry to guide product improvements

Engage in end-to-end AI/ML product development, from ideation to deployment, while continually expanding your technical and product skillset

Follow and help define robust development standards to ensure the creation of trustworthy, safe, and responsible AI systems

Contribute to internal and external AI/ML research through experimentation, whitepapers, and collaboration with the broader AI community

Qualification

NLP applicationsTrustworthy AI practicesApplied machine learningPythonDeep learning frameworksMachine learning infrastructureData scienceOptimization modelsMentoring junior data scientistsCommunicationCollaborative skills

Required

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

Proven experience deploying high-risk NLP applications in real-world, production environments—such as those involving regulatory compliance, privacy, safety, or fairness

Demonstrated ability to advance and implement Trustworthy AI and Responsible ML practices, working cross-functionally with engineering, legal, policy, and product stakeholders across a large enterprise

Track record of mentoring and coaching junior data scientists, especially in navigating ambiguous or novel problem spaces

Strong applied machine learning experience, with solid foundational knowledge in statistics, optimization, and deep learning—preferably gained at leading technology companies (e.g., Google, Meta, Microsoft) or AI-first startups

Excellent communication skills with the ability to synthesize complex technical work into accessible insights for executive briefings, research publications, and external presentations

Advanced proficiency in Python and common ML/DS libraries such as NumPy, pandas, scikit-learn, as well as deep learning frameworks like TensorFlow, PyTorch

Experience designing and deploying scalable deep learning systems, including neural network architecture optimization, model distillation, quantization, or on-device inference

Strong understanding of machine learning infrastructure, including experience with Kubeflow, MLflow, Airflow is a plus

5+ years of industry experience, with a demonstrated ability to take ownership of complex projects and deliver impactful AI/ML solutions from concept to production

Preferred

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

Benefits

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.

Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities.