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Senior Data Scientist - Machine Learning Engineering - Personalized RecommendationsWalmartUnited States
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Senior Data Scientist - Machine Learning Engineering - Personalized Recommendations

Walmart
  • US
    United States
  • US
    United States

À propos

Position Summary... What you'll do... We are looking for an accomplished Senior Data Scientist to spearhead the design and architecture of our feature engineering ecosystem aimed at enhancing large-scale recommendation and personalization systems. In this role, you will define feature strategy, oversee platform design, and ensure alignment across teams while actively contributing to impactful systems. Responsibilities Design and architect a comprehensive feature architecture for candidate generation, ranking, and re-ranking processes.
Lead the development and optimization of feature stores (both offline and online) tailored for recommendation system workloads.
Establish standards for feature versioning, lineage tracking, freshness SLAs, and point-in-time accuracy.
Build systems that support real-time, near-real-time, and batch feature generation.
Technical Leadership & Influence Promote best practices in feature engineering across multiple recommendation teams.
Collaborate with Product and ML leadership to align feature strategies with personalization objectives.
Mentor senior engineers on designing features for recommendation systems and scalable data platforms.
Review and endorse designs for complex and high-risk feature pipelines.
Advanced Recommendation Systems Enablement Facilitate feature reuse across various platforms, including home feed, search, cart, and more.
Lead initiatives focused on feature observability, drift detection, and maintaining model health.
Proactively identify future requirements like contextual personalization, cold-start problem resolutions, and diversity controls.
Ownership & Execution Own crucial feature pipelines that influence both revenue and user engagement metrics.
Lead responses to incidents related to feature or data failures impacting ranking outputs.
Balance investments in long-term platform enhancements with immediate business needs.
Ensure clarity and transparency in explainability initiatives.
Qualifications A minimum of 4 years' experience in data engineering, machine learning engineering, or related roles focusing on recommendation systems.
In-depth knowledge of distributed systems and large-scale data processing techniques.
Demonstrated experience in designing feature platforms for recommendation applications.
Strong grasp of ranking architectures, candidate generation mechanisms, and personalization frameworks.
Outstanding technical communication and leadership capabilities.
About Walmart Global Tech Imagine the impact of a single line of code that simplifies the lives of millions. At Walmart Global Tech, our mission is to do just that. We are a diverse team comprising software engineers, data scientists, cybersecurity experts, and more, united in transforming the future of retail. Here, you'll have the opportunity to embark on a rewarding tech career, acquire new skills, and contribute to innovations that enhance everyday life. Our primary location is 1395 Crossman Ave, Sunnyvale, CA 94089-1114, United States of America. Walmart is a global company dedicated to fostering a collaborative environment and investing in our associates' development. Benefits: In addition to a competitive salary, you will enjoy incentive awards based on performance, a 401(k) match, stock purchase options, generous paid maternity and parental leave, and a variety of health plans, among many other benefits. Equal Opportunity Employer: Walmart, Inc. is proud to be an Equal Opportunity Employer. We believe our diversity enriches our organization and helps us serve our associates, customers, and communities better.
  • United States

Compétences linguistiques

  • English
Avis aux utilisateurs

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