Job Description

What you'll do at

Position Summary...

What you'll do...

About the team:
The mission of the Advertising Technology organization is to advance Walmart e-Commerce by driving higher value for our customers and vendor partners. Walmart is investing in building a world class advertising platform and the Ads team is responsible for defining, innovating and building performance advertising products that drive product discovery, sales and profits.

What you will do:

• Research and develop cutting-edge machine learning models and algorithms with high-dimensional, complicated unstructured and structured data.
• Experiment and process large scale e-Commerce datasets using distributed computing platform, mining insights from data, discover and build models that optimize towards various business goals and metrics.
• Build advanced feature extraction algorithms that feed into various advertising applications, including audience targeting, relevance and ranking, measurement and optimization.
• Build machine learning, deep learning, reinforcement learning, active learning algorithms to continuously drive ads relevance and conversions; build end to end system and solution to optimize advertising products performance.
• Conduct large scale A/B testing and offline/online experiments to evaluate performance of new machine learning models which serve hundreds of millions of ad impressions per day.
• Work closely with leaderships, product managers, system engineers to continuously and collaboratively ship new models, algorithms and improvements into production. Present business insights internally and externally.

What you will bring:

• You’re experienced with Data Science and Machine Learning (aka A.I.), including Regression, Classification, Ensemble Methods, Deep Learning, Active Learning, Reinforcement Learning, etc.
• You have strong implementation experience with at least one of the programming languages (Python, Java, C++, etc.).
• You have strong hands-on skills in data wrangling over massive datasets using distributed computing platform.
• 2+ years of experience mentoring junior data scientists or machine learning team.
• You have strong written and oral communication skills.
• You have a graduate degree in a computational science with a lot of emphasis in Machine Learning and Data Science.
• You have experience in online advertising, recommender system, search engine, ecommerce or related areas.
• You’re experienced with end-to-end modeling projects emerging from research efforts.
• You have an excellent academic or industrial track record of proposing, conducting, and reporting results of original research, plus collaborative research with publications.
• Experienced in online advertising, recommender system, search engine, ecommerce, GenAI or related areas.

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.
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 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.

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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.

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For information about PTO, see .

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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.

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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.

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For information about benefits and eligibility, see One.Walmart .

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The annual salary range for this position is $117,000.00-$234,000.00

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Additional compensation includes annual or quarterly performance bonuses.

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Additional compensation for certain positions may also include:

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- 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- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 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, Master’s degree 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...

840 W California Ave, Sunnyvale, CA 94086-4828, United States of America

Job Tags

Holiday work, Permanent employment, Full time, Temporary work,

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