What you'll do at

Position Summary...

What you'll do...

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

About Role :

This is a key role as a Tech Lead and key contributor to Machine Learning efforts across several key domains in Walmart Spark Driver Platform. You will have the chance to leverage advanced machine learning and optimization methods to tackle a wide range of real-world problems, such as driver-trip matching, driver offer pricing, surge pricing, supply/demand forecast, ETA prediction and Generative AI personalization . The ML models in these domains vary from forecasting models, deep learning models, causal ML models, reinforcement learning models, recommendation system and Gen AI. You will play a critical role in d riving innovation and optimizing revenue through the application of advanced statistical and machine learning techniques. You will be a key player in developing and maintaining our machine learning infrastructure and data platform ensuring the smooth integration of models into our production environment. The impact of this role is extremely high and directly contributes to ensuring driver and customer experience, reducing fraud/defects, enhancing efficiency, improving delivery reliability, and increasing GMV.

What You'll Do :

• Build scalable production systems that can handle the trainings and predictions of ML models to help Walmart Last mile business use cases, such as trip-driver matching, driver trip pricing, supply/demand forecast and ETA prediction.
• Build data pipeline from multiple sources and extract data insight with data exploration and visualization techniques.
• Design, implement, productionize, and deploy data science products with consideration of optimality and computation complexity.
• Collaborate with stakeholders, including product, backend engineering, business operations team to ensure that our data science product supports Walmart's business objectives.
• Explore and latest trends of machine learning, reinforcement learning, and GenAI techniques to come up with solutions for complex data challenges.
• Provide mentorship to more junior members of the team.

What You'll Bring :

• Ph.D. or equivalent advanced degree in Computer Science, Statistics, Operations Research, Economics, Mathematics, or other quantitative fields with 5+ years of relevant work experience.
• Solid knowledge in advanced forecasting, deep learning, reinforcement learning, and scalable ML architecture.
• Preferred experience in personalization, ranking, causal inference and GenAI.
• Extensive ML engineering experience on deploying and monitoring large-scale machine learning models in production environments.
• Experience on i mplementing and managing ML Ops practices to streamline the machine learning development lifecycle.
• Demonstrated ability to drive projects from conception to completion in a fast-paced, dynamic environment.
• Excellent communication and leadership skills with the ability to influence and inspire cross-functional teams.

About 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 :

Beyond competitive pay, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.

Equal Opportunity Employer :

Walmart, Inc. is an Equal Opportunity Employer - By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, ideas, and opinions - while being inclusive of all people.

The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

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 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field
As permitted by applicable law, provide evidence of full vaccination as defined by CDC guidelines OR secure approval of medical or religious accommodation for the vaccination mandate.

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, 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...

640 W California Avenue, Sunnyvale, CA 94086-4828, United States of America

About Walmart

At Walmart, we help people save money so they can live better. This mission serves as the foundation for every decision we make, from responsible sourcing to sustainability-and everything in between. As a Walmart associate, you will play an integral role in shaping the future of retail, tech, merchandising, finance and hundreds of other industries-all while affecting the lives of millions of customers all over the world. Here, your work makes an impact every day. What are you waiting for?

Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.

"At Walmart, you have the support you need at any given moment no matter the circumstance." - Shelby, Project Analyst

Hello, Silicon Valley

You don't have to choose between your career and your lifestyle in Silicon Valley. Here, you can have both.

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