(USA) Senior, Data Scientist
Data Science
Sunnyvale, CA, USA
Position Summary...
What you'll do...
Role summary:
Walmart is seeking a Senior Data Scientist to leverage advanced statistical techniques and data science expertise to drive business insights and solutions. This role involves identifying and sourcing relevant data, developing and validating predictive models, and deploying scalable analytical solutions. The successful candidate will translate complex business requirements into actionable data strategies, collaborate across functions, and communicate findings effectively to influence decision-making. A strong foundation in statistical methods, programming, and data engineering is essential to support Walmart’s commitment to data-driven innovation and operational excellence.
About the team:
Join the personalization marketing data science team at Walmart, collaborating with engineering, business, and product teams across digital marketing channels such as SEM, SEO, CRM, and Display as well as working on personalization domain. The team focuses on creating scalable, data driven solutions to optimize marketing effectiveness and drive high-quality demand at low cost. Members analyze extensive data from Walmart’s omnichannel commerce to develop models and algorithms that support business growth. Working alongside skilled data scientists, engineers, marketers, and product managers, the team builds advanced marketing science platforms to enhance strategies and deliver impactful insights across the organization.
What you'll do:
- Utilize cutting-edge machine learning/statistical/optimization techniques to deliver solutions for projects in the domain of marketing science. Examples of projects include acquisition segmentation, churn prediction, channel optimization etc.
- Design statistically sound experiments to properly evaluate the effectiveness and business value of proposed marketing strategies;
- Build, validate, test and deploy predictive models using machine learning techniques to explain or predict behavior and solve a variety of business and engineering problems.
- Experience with personalization
- Collaborating with engineering teams to define interfaces, understanding and resolving dependencies;
- Standardize and build scalable and highly available systems that follow operational best practices;
What you'll bring:
- Industry work experience in an analytical or quantitative role as a Data Scientist, MLE or similar title
- Deep Knowledge of A/B and multivariate testing methodology, including statistical foundations, best practices, and pitfalls
- Must have ability to manipulate, analyze, interpret large data sources, and tell a story from data through analyses
- Strong skills with SQL, Hive, Python, Tableau for data manipulation, statistical analysis, statistical modeling and data visualization.
- Experience with API design and construction using Python.
- Advanced degree in computer science, statistics, data science, mathematics or other discipline (e.g., economics, psychology) that exposes scientific methods of research and analysis.
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.
Walmart’s culture is a competitive advantage, and it’s fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates.
Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey.
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 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.
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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 3years' 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.