Principal Data Scientist

Walmart

. Consult with business stakeholders on algorithm-based recommendations and develop them into business actions .

Posted 10/27/2026full-timeUnited StatesLead💰 $143,000 - $286,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading data science initiatives, driving the adoption of machine learning practices, and translating business requirements into actionable strategies. Proficient in deploying scalable data science solutions and evaluating their impact on business outcomes.

Highest-signal resume keywords

Data Science Technical Lead ExperienceMachine Learning Product DevelopmentPython and R ProficiencyGCP/Azure ExperienceStrong Communication and Leadership Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningClassificationRegressionNatural Language ProcessingOptimizationStatistical LearningCausal InferenceGen-AIModel DeploymentData Analysis

Soft Skills

Excellent CommunicationLeadershipInfluencing SkillsCross-Functional Team CollaborationProblem-Solving

Tools & Technologies

PythonRGoogle Cloud PlatformVertex AIKubeflowHadoopHiveMapReducePySparkCUDA

Industry Keywords

Fraud PreventionForecastingInventory ManagementRecommendation SystemsPrice OptimizationShrink and Waste ReductionAnalyticsData Science Best PracticesAlgorithmic InnovationBusiness Impact Measurement

Tech Stack

Tools & technologies

AzureCloudGoogle Cloud PlatformHadoopMapReducePySparkPythonScalaScikit-LearnTensorflow

About the role

Key responsibilities & impact

Consult with business stakeholders on algorithm-based recommendations and develop them into business actions
Partner with Data Science leadership to drive data science adoption
Guide data scientists across multiple sub-domains to ensure timely delivery of ML products
Drive data science, ML, MLOps, resource utilization, reusability, and multi-tenancy best practices
Lead multiple complex ML products and guide senior technical leads
Drive synergies and share algorithmic innovation across products
Identify business problems and opportunities solvable with advanced ML
Evaluate project and initiative business cases
Translate business requirements into strategies, initiatives, projects, and deliverables
Define success criteria, key metrics, and testing documentation
Quantify business impact and measure ML product effectiveness
Identify and review model evaluation metrics
Solve complex business problems and provide actionable insights
Build, scale, and deploy holistic data science products after prototyping
Present recommendations to business partners and influence plans
Partner with associates in other regions to deliver services globally
Drive innovation across end-to-end problem-solving approaches and delivery
Engage with the external community to build Walmart's brand and learn industry practices
Promote company policies, procedures, mission, values, ethics, and integrity

Requirements

What you’ll need

Bachelor's, Master's, or Ph.D. in Computer Science, Statistics, Mathematics, or a related area, with 10–15 years of relevant experience
Minimum 10 years of experience as a data science technical lead
Required minimum qualification alternative 1: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 5 years' experience in an analytics-related field
Required minimum qualification alternative 2: Master's degree in the listed fields and 3 years' experience in an analytics-related field
Required minimum qualification alternative 3: 7 years' experience in an analytics or related field
Ability to drive projects from conception to production
Excellent communication and leadership skills; ability to influence and inspire cross-functional teams
Deep experience in fraud prevention, forecasting, shrink and waste reduction, inventory management, recommendation, assortment, and price optimization
Experience leading multiple data science initiatives end-to-end
Strong experience in classification, regression, NLP, forecasting, unsupervised models, optimization, graph ML, causal inference, causal ML, statistical learning, experimentation, and Gen-AI
Ability to scale and deploy data science solutions
Strong experience with Python and/or R
Experience in GCP/Azure
Strong experience with Python, PySpark, Google Cloud Platform, Vertex AI, Kubeflow, and model deployment
Strong experience with Hadoop, Hive, MapReduce, HQL, and Scala
Experience with GPU/CUDA for computational efficiency
Preferred: Gen-AI experience with embeddings, vector databases, managed LLM gateways, RAG-based agents, model selection, prompt engineering, fine-tuning, monitoring, and governance
Preferred: experience with open-source frameworks such as scikit-learn, TensorFlow, and Torch

Benefits

Comp & perks

Incentive awards for performance
401(k) match
Stock purchase plan
Paid maternity and parental leave
PTO, including sick leave
Multiple health plans
Medical, vision, and dental coverage
Company-paid life insurance
Family care leave
Bereavement leave
Jury duty leave
Voting leave
Short-term and long-term disability
Company discounts
Military Leave Pay
Adoption and surrogacy expense reimbursement
Live Better U Walmart-paid education benefit, including tuition, books, and fees for eligible programs
Additional compensation may include annual or quarterly performance bonuses
Stock may be included for certain positions