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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in statistical modeling, machine learning, and data science, with a strong focus on developing scalable models and integrating solutions into business processes. Proficient in Python, PySpark, and Google Cloud Platform, with a solid understanding of machine learning best practices and model deployment.
Highest-signal resume keywords
Statistical ModelingMachine Learning TechniquesPython ProgrammingGoogle Cloud PlatformBig Data Platforms
ATS Keywords
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Hard Skills
Statistical ModelingMachine LearningNatural Language ProcessingData MiningNeural NetworksDeep Learning AlgorithmsEmbedding GenerationModel DeploymentPrompt EngineeringFine-Tuning
Soft Skills
CollaborationCommunicationPresentation Skills
Tools & Technologies
PySparkGoogle Cloud PlatformVector DatabasesManaged LLM Gateways
Industry Keywords
RetailE-CommerceAlgorithm-Based RecommendationsModel Goodness Metrics
Tech Stack
Tools & technologiesCloudGoogle Cloud PlatformPySparkPython
About the role
Key responsibilities & impact- Apply and develop statistical modeling, optimization, and machine learning techniques
- Develop efficient and scalable models at Walmart scale
- Collaborate with business, engineering, and science counterparts to solve business problems
- Define model goodness metrics and track business impact over time
- Present complex-analysis recommendations clearly to business partners
- Continuously improve data science and machine learning using industry best practices and current research
- Integrate data science solutions into business processes
- Develop machine learning process standards and best practices for retail
- Consult with stakeholders across stores and e-commerce on algorithm-based recommendations
- Participate and speak at research conferences and technical summits
- Support company policies, mission, values, ethics, and integrity
Requirements
What you’ll need- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field; or Master's degree in those fields; or 4 years' experience in an analytics or related field
- Experience in supervised and unsupervised machine learning, including NLP, classification, data/text mining, multi-modal models, neural networks, and deep learning algorithms
- Experience with embedding generation, vector databases, managed LLM gateways, retrieval-augmented generation LLM agents, model selection, prompt engineering, fine-tuning, monitoring, and governance
- Strong experience in Python, PySpark, Google Cloud Platform, and model deployment
- Strong experience with big data platforms
Benefits
Comp & perks- Incentive awards for performance
- Maternity and parental leave
- PTO
- Health benefits