(USA) Senior Manager, Data Science
(USA) SUNNYVALE IV- 680 W CALIFORNIA CA SUNNYVALE Home Office, United States
Full Time Senior-level / Expert USD 143K - 286K
Walmart
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What you'll do...
Senior Manager, Data Science – Search & Personalization (Walmart International Markets)
Position Summary
Walmart International is seeking a Senior Manager of Data Science to lead and innovate Search & Browse experience across our global markets. This role will drive the development of cutting-edge AI and machine learning solutions that enhance product discovery, search relevance, and personalized customer experiences. As a key leader, you will collaborate with cross-functional teams to develop scalable, high-impact solutions that optimize business performance and improve customer engagement.
About the Team
The Search & Personalization team plays a critical role in shaping how customers interact with Walmart's digital platforms across international markets. Our mission is to develop state-of-the-art machine learning models that power highly relevant search experiences and personalized recommendations at scale. We work at the intersection of AI, engineering, and product innovation to create intelligent systems that adapt to customer preferences, improve discoverability, and drive seamless shopping experiences.
What You'll Do
Lead and mentor a team of data scientists and ML engineers to develop search ranking algorithms, personalization models, and recommendation systems tailored for Walmart’s international markets.
Design and implement machine learning models for query understanding, ranking, and personalization to enhance customer engagement and conversion.
Collaborate closely with engineering teams to build and deploy scalable AI-driven solutions.
Develop A/B testing frameworks and experimentation strategies to optimize model performance and measure impact.
Partner with product and business teams to align AI strategies with market-specific goals and customer behaviors.
Drive innovation in generative AI and LLMs to enhance search relevance and personalization.
Stay ahead of industry trends in AI, machine learning, and information retrieval to continuously improve Walmart's global search and personalization capabilities.
What You'll Bring
8+ years of experience in data science, with a strong focus on search, personalization, or recommender systems.
3+ years of leadership experience, managing and mentoring data science teams.
Expertise in machine learning, deep learning, NLP, and information retrieval techniques.
Strong understanding of ML system design principles, including scalability, real-time inference, model retraining pipelines, and MLOps best practices.
Proficiency in Python, Spark, and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
Experience with A/B testing, causal inference, and experimentation in large-scale consumer environments.
Ability to solve multilingual search and personalization challenges across global markets.
Strong communication skills to influence stakeholders and drive AI-driven decision-making at scale.
You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
For information about PTO, see https://one.walmart.com/notices.
Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $143,000.00-$286,000.00
Additional compensation includes annual or quarterly performance bonuses.
Additional compensation for certain positions may also include:
- Stock
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field.Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, PhD 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, Supervisory experience, 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.Primary Location...
680 West California Avenue, Sunnyvale, CA 94086-4834, United States of AmericaTags: A/B testing Causal inference Classification Computer Science Deep Learning Econometrics Economics Engineering Generative AI LLMs Machine Learning Mathematics ML models MLOps NLP Open Source PhD Pipelines Python PyTorch R Recommender systems Research Scala Scikit-learn Spark Statistics TensorFlow Testing
Perks/benefits: Career development Competitive pay Equity / stock options Health care Insurance Medical leave Parental leave Salary bonus
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