Senior Data Scientist - Driver Personalization and Matching | Sunnyvale

Position Summary:

Walmart is looking for a Full Stack Senior Data Scientist skilled in building and scaling models with a strong statistical background. Your expertise in reinforcement learning, personalization, and ranking algorithms will shape the future of retail. Join our team and leverage advanced analytics to deliver personalized and optimized experiences for our customers.

About the Team:

The Spark Driver Platform operates across all 50 US states with millions of local delivery drivers. It has grown to become Walmart's largest local delivery service provider. The mission of our Spark Driver Applied AI team is to enhance efficiency and profitability by advancing the frontiers of machine learning, data science, and economics. We develop highly reliable and scalable production systems to accelerate the growth of Spark Driver Platform. Our key focus areas include Capacity Planning, Driver Search, Driver Matching, Driver Offer Pricing, Driver Surge Pricing, Incentive Strategy, and ETA prediction.

About the Role:

As a Senior Applied Scientist, you will collaborate with business, product, and backend engineering teams to drive high-impact projects for Driver Matching and Personalization System. Your work will involve deep learning models, reinforcement learning models, recommendation systems, and causal ML models. You will play a critical role in driving innovation and optimizing revenue through the application of advanced statistical and machine learning techniques.

Key Responsibilities:

• Collaborate with stakeholders to ensure data science products support Walmart’s business objectives.
• Explore trends in machine learning and optimization techniques to innovate solutions for complex business problems.
• Build data pipelines from multiple sources and extract insights using data exploration and visualization techniques.
• Design, implement, and deploy end-to-end machine learning solutions with consideration for optimality and computational complexity.
• Design and execute experiments to develop NorthStar metrics, draw unbiased and robust statistical inferences, and establish causality.

Qualifications:

What You'll Bring:

• Ph.D. or equivalent advanced degree in Computer Science, Statistics, Operations Research, Economics, or related field.
• Extensive experience in data science, machine learning, statistical analysis, reinforcement learning, personalization, and ranking.
• Proven track record of building and deploying models in production.
• Expertise in programming languages such as Python, Java, C, or C++.
• Experience with large-scale data systems (Spark/Hive) and cloud computing (GCP/Azure).
• Ability to drive projects from conception to completion in a dynamic environment.
• Excellent communication skills to influence and inspire cross-functional teams.

About Walmart Global Tech:

Imagine a place where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. We are a team of software engineers, data scientists, cybersecurity experts, and service professionals within the world's leading retailer. People are at the core of our innovations, making us people-led and tech-empowered. Whether you are starting your career or seeking a role that will define it, Walmart Global Tech offers opportunities to innovate at scale and impact millions while reimagining the future of retail.

Flexible, Hybrid Work:

We use a hybrid work model combining in-office and virtual work. Our campuses enhance collaboration, help us make quicker decisions, and offer flexibility in our personal lives.

Benefits:

Beyond competitive pay, you can receive performance-based incentive awards. Other perks include:

• 401(k) match
• Stock purchase plan
• Paid maternity and parental leave
• PTO, multiple health plans, and more

Equal Opportunity Employer:

Walmart, Inc. is an Equal Opportunity Employer – By Choice. We value diversity and inclusion, appreciating unique styles, experiences, identities, and ideas.

The above details outline the general nature and level of work performed in the role. For a comprehensive list of responsibilities and qualifications, the full Job Description is available during the hiring process.

Compensation:

The annual salary range for this position is $117,000.00-$234,000.00, with additional compensation including performance