Director, Data Science
Posted 1 day ago
Job Description
Position Summary...
What you'll do...
As a Director, Data Science – Personalization, you will lead the strategy, development, and scaling of Walmart International’s next-generation AI-powered personalization systems. This role will drive innovation across recommendation systems, relevance, and customer experience, leveraging advanced machine learning, LLMs, and agentic AI frameworks to deliver highly relevant and contextual experiences for millions of customers globally. You will lead a high-performing team of data scientists, applied researchers, and ML engineers, translating cutting-edge AI innovation into measurable business outcomes across multiple international markets.What You’ll Do...
- Define Personalization Strategy
Set and execute a multi-year vision for AI-driven personalization, aligning scientific innovation with business priorities and customer experience goals. - Lead Advanced AI & Personalization Systems
Design and scale recommendation engines, ranking systems, conversational personalization, and relevance models using LLMs, embeddings, RAG, and agentic AI systems. - Architect Scalable AI Platforms
Build and evolve large-scale personalization platforms using modern cloud and data technologies, ensuring reliability, scalability, and global adaptability. - Establish Experimentation & Measurement Frameworks
Drive A/B testing, uplift modeling, and experimentation strategies to measure impact across customer engagement, relevance, and business KPIs. - Champion Responsible AI & Governance
Ensure systems adhere to principles of fairness, transparency, and compliance, with strong model governance, monitoring, and safety guardrails. - Lead Cross-Functional Execution
Partner with product, engineering, design, and business leaders across global markets to deliver impactful personalization solutions. - Build and Develop Talent
Mentor and grow a world-class team, fostering a culture of innovation, technical excellence, and ownership.
What You’ll Bring...
- 12+ years of experience in data science and machine learning, with 5+ years in leadership roles.
- Proven success building and scaling personalization, recommendation, or search systems in large-scale environments.
- Deep expertise in Generative AI (LLMs, RAG, embeddings) and modern ML techniques such as reinforcement learning and contextual bandits.
- Strong experience with cloud-based ML platforms (preferably GCP), distributed data systems, and MLOps practices.
- Hands-on proficiency in Python, PyTorch/TensorFlow, and large-scale data processing (e.g., Spark, BigQuery).
- Strong product mindset with the ability to translate complex problems into scalable AI solutions.
- Excellent communication and leadership skills, with experience influencing senior stakeholders and driving cross-functional alignment.
Preferred Qualifications
- Experience with agentic AI systems, multi-agent architectures, or conversational AI.
- Background in global or multi-market personalization platforms.
- Experience building real-time personalization or recommendation systems at scale.
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 $169,000.00 - $338,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
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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 6 years' experience in an analytics related field.Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.
Option 3: 8 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...
815 Eleventh Ave, Sunnyvale, CA 94089-4731, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.Walmart
78 jobs posted
About the job
Posted on
Apr 7, 2026
Apply before
May 7, 2026
Job typeFull-time
Salary Range
$169,000 - $338,000
CategoryData Science
Location
Sunnyvale, CA
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