Position Summary...

What you'll do...

The Senior Data Scientist in the Ads team at Sam's Club, a division of Walmart Inc., occupies a pivotal role in supporting and advancing Machine Learning (ML) implementations that drive innovative advertising solutions. This position is essential for developing ML models and algorithms that enhance ad relevance, targeting, and performance, thereby improving member engagement and driving revenue growth across eCommerce platforms and in-club promotions.

As a Senior Data Scientist, your expertise will be crucial in the entire lifecycle of ML product development in the Ads domain-from conceptualization to deployment. You will collaborate closely with a team of ML Engineers, Software Engineers, Product Managers, and other Technologists. This role provides a unique opportunity to leverage your deep analytical skills and knowledge of machine learning to influence advertising strategies, integrate advanced ML algorithms, and challenge conventional approaches to achieve ambitious business objectives

About Team: Sams Ads Team - DS & MLE

Ads Relevancy and Ranking Team at Sam's club to support Omni Ads experience. A high-visibility assembly of Data Scientists and Machine Learning Experts dedicated to revolutionizing ad experiences with unparalleled precision in Relevancy and Ranking within the retail giant's ecosystem. Our mission is to refine ad interactions across Walmart and Sam's Club platforms, ensuring each advertisement is not only relevant but seamlessly integrated into the customer journey, thereby significantly enhancing user engagement and simplifying their decision-making process. By harnessing advanced, scalable systems, our team is at the forefront of transforming the ad experience into something intuitively customer-centric. Our pivotal role in managing vast traffic volumes and catalyzing revenue growth is recognized across the organization, marking us as a cornerstone of innovation within Walmart/Sam's Club. Celebrated for our groundbreaking solutions and strategic impact, we are leading the evolution in ad visibility and effectiveness, driving marketplace success by making customer experiences more engaging and effortless.

What you'll do:

• Developing backend ML models that power sophisticated AI-driven advertising solutions, contributing to more relevant and engaging member experiences.

• Partnering with product and engineering teams to inform, drive, and expedite innovations in advertising through insights, advanced analytics, and ML prototypes.

• Managing the full project lifecycle, from data collection and model building to prototyping and deployment, while ensuring effective communication with stakeholders across functions.

• Establishing an MLOps framework for the continuous development, testing, and deployment of data science algorithms, enhancing the personalization and effectiveness of ad campaigns.

What you'll bring:

• Proficiency in developing and deploying large-scale ML models, particularly in the areas of ad targeting, relevance, and ranking systems.

• Experience with public cloud platforms such as Azure, AWS, or Google Cloud for deploying scalable ML solutions.

• Expertise in programming languages (Python, Java, Scala) and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-Learn).

• A solid understanding of MLOps practices, including design documentation, unit testing, integration testing, and source code management with tools like Git.

• Agility in navigating project management and tracking tools (e.g., JIRA), with a passion for solving complex problems in a high-impact retail environment.

• 6+ years of experience in relevance domain or technologies

• Industry or research experience in digital advertising, marketing personalization, recommendation systems, or related fields.

• Knowledge of causal inference, A/B testing, multi-variate testing, and advanced analytical techniques.

• Familiarity with advertising targeting and measurement technologies, digital marketing analytics, and platforms like GCP, BQ, and Elastic/SOLR/Vector Search.

• Experience in building scalable, resilient systems for customer-facing applications and optimization techniques.

• Proficiency in MLOps architecture tools (Docker, Kubernetes, Airflow, Kubeflow) and experience designing and implementing APIs in a Python stack.

About Walmart General/Not Function Specific

Sam Walton opened the first Sam's Club in 1983 to meet a growing need among customers who wanted to buy merchandise in bulk. Since then, Sam's Club has grown rapidly, opening more than 600 clubs in the U.S. and 100 clubs internationally. By offering affordable, wholesale merchandise to members, Sam's Club helps make saving simple for families and small business owners. Sam's Club employs about 110,000 associates in the U.S. The average club is 134,000 square feet and offers bulk groceries and general merchandise. Most clubs also have specialty services, such as a pharmacy, an optical department, a photo center, or a tire and battery center.

Future Ways of Working:

Our company's success can be attributed to our employees. While technology has allowed us to be effective while working remotely, there is no substitute for being in the office together; it helps to shape our culture, collaborate, innovate, build relationships, and move more quickly. We strive to provide flexibility in order to promote a healthy work-life balance but recognize that in-person interactions are important to our culture and shared success. We'll meet in person on a regular and purposeful basis.

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:

Sam's Club 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.

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 https://one.walmart.com/notices .

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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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Sunnyvale, California US-08479:The annual salary range for this position is $117,000.00-$234,000.00

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DALLAS, Texas US-09648:The annual salary range for this position is $90,000.00-$180,000.00

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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...

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

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.