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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, generic data scientist title, mid-level requirement, metro location, and broad ML skillset increase applicant competition.
Advanced ML, LLM, and cloud requirements are transferable, but retail personalization specifics add moderate domain sensitivity.
Explicit years plus mandatory ML/LLM, cloud, PySpark and deployment skills create strict shortlisting filters.
Job Description
Structured overview of role & requirementsAbout This Role
Develop and deploy scalable machine learning models at Walmart scale, including deep neural networks and Bayesian models.
Define and own model performance metrics and track their business impact over time.
Collaborate across business, engineering, and science teams to deliver impactful data-driven solutions for personalization and customer experience.
Minimum Requirements
Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field plus 2 years experience in analytics or related field, OR Master's degree in relevant field, OR 4 years experience in analytics or related field.
Experience with machine learning techniques including NLP, classification, data/text mining, multi-modal models, neural networks, and deep learning algorithms.
Strong skills in Python, PySpark, Google Cloud Platform, and model deployment.
Experience with big data platforms.
Ideal Candidate Profile
Experienced in building and managing end-to-end production ML systems for large-scale retail or e-commerce environments.
Able to translate complex analytics into clear, actionable business recommendations influencing cross-functional stakeholders.
Experienced in advanced ML techniques including embedding generation, LLM model deployment, prompt engineering, and continuous model governance and monitoring.