Position Summary...
What you'll do...
The Staff Data Scientist in the Ads team at Sam's Club, part of Walmart Inc., is a key player in enhancing and implementing Machine Learning (ML) innovations that elevate our advertising strategies. This role is fundamental to crafting and refining ML models that bolster ad targeting, relevance, and efficiency, leading to increased member engagement and revenue generation through our eCommerce platforms and in-club promotions.
As a Staff Data Scientist, you will take a lead role in the development lifecycle of ML-based advertising products—from ideation to execution. Working in synergy with ML Engineers, Software Engineers, Product Managers, and Technologists, you will use your analytical prowess and ML expertise to influence ad strategies, integrate cutting-edge ML algorithms, and challenge traditional business models to meet and exceed our strategic goals.
About Team: Sams Ads Team - Relevance & Ranking
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:
Spearhead the development of backend ML models that drive AI-powered ad solutions, creating more tailored and impactful member interactions.
Collaborate with product and engineering leaders to pioneer innovations in ad technology through deep insights, analytics, and ML prototypes.
Oversee the entire project lifecycle, from data analysis and model development to prototyping and implementation, ensuring smooth communication with all stakeholders.
Lead the establishment of an MLOps framework to facilitate the ongoing enhancement, testing, and deployment of algorithms, aiming to optimize ad personalization and effectiveness.
What you'll bring:
Advanced skills in the development and deployment of large-scale ML models, especially focusing on ad targeting, relevance, and optimization.
Experience utilizing public cloud platforms (Azure, AWS, Google Cloud) to deploy scalable ML solutions efficiently.
Proficiency in programming languages (Python, Java, Scala) and ML frameworks (TensorFlow, PyTorch, Scikit-Learn), underpinned by a solid grasp of MLOps practices, including design documentation, testing, and source code management with Git.
Agile project management capabilities, adept at using tools like JIRA, and a driven problem-solver with a passion for impacting the retail sector at scale.
8+ years of experience in Similar Domain or tech stack
Background in digital advertising, marketing personalization, recommendation algorithms, or similar fields.
Expertise in causal inference, A/B testing designs, multi-variate testing, and other advanced analytical methods.
Knowledge of advertising targeting and measurement solutions, digital marketing analytics tools, and specific technologies such as GCP, BQ, and Elastic/SOLR/Vector Search.
Experience in designing highly scalable, resilient systems for customer-facing applications and familiarity with optimization techniques.
Proficiency with MLOps architecture tools like Docker, Kubernetes, Airflow, Kubeflow, and experience in API development within a Python environment.
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.
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.
Sunnyvale, California US-08479:The annual salary range for this position is $143,000.00-$286,000.00
Bentonville, Arkansas US-10735:The annual salary range for this position is $110,000.00-$220,000.00
Additional compensation includes annual or quarterly performance bonuses.
Additional compensation for certain positions may also include:
- Stock
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 fieldOutlined 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.Yearly based
(USA) CA SUNNYVALE Home Office SUNNYVALE V - 640 W CALIFORNIA
