Senior, Data Scientist - Driver Personalization and Matching | Sunnyvale

Position Summary...

What you'll do...

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

About the Team:

Spark Driver Platform, which operates across all 50 US states with millions of drivers to help serve our customers with local delivery, 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. The machine learning solution in these domains vary from 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. The impact of this role is extremely high and directly contributes to reducing fraud/defects, enhancing efficiency, improving delivery reliability, and ensuring driver experience.

What you'll do:

• Collaborate with stakeholders to ensure that our data science product supports Walmart’s business objectives.
• Explore the latest trends in machine learning and optimization techniques to innovate solutions to solve high-impact and complex business problems.
• Build data pipelines from multiple sources and extract data insights using data exploration and visualization techniques.
• Design, implement, productionize, and deploy end to end machine learning solutions with consideration for optimality and computation complexity.
• Design and implement experiments to develop NorthStar metrics, draw unbiased and robust statistical inferences, and establish causality.

What you'll bring:

• Ph.D. or equivalent advanced degree in Computer Science, Statistics, Operation Research, Economics, or related field.
• Extensive experience in data science, machine learning, statistical analysis, Reinforcement learning, personalization, and ranking experience.
• Proven track record of building and deploying algorithms/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).
• Demonstrated ability to drive projects from conception to completion in a fast-paced, dynamic environment.
• Excellent communication with the ability to influence and inspire cross-functional teams.

About Walmart Global Tech:
Imagine working in an environment 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’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

Flexible, Hybrid Work:
We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.

Benefits:
Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid mate