Senior, Data Scientist

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Position Summary... Walmarts Enterprise Business Services (EBS) is a powerhouse of seven exceptional teams delivering world-class technology solutions and services making a profound impact at every level of Walmart. As a key part of Walmart Global Tech, our teams set the bar for operational excellence and leverage emerging technology to support millions of customers, associates, and stakeholders worldwide. Joining EBS means embarking on a journey of limitless growth, relentless innovation, and the chance to set new industry standards that shape the future of Walmart. We are looking for a passionate, creative full stack Senior Data Scientist to join Walmart's fraud detection team. You will have the unique opportunity to work with massive business and social data generated by Walmart Inc.'s unparalleled online and offline commerce. You will be responsible to use cutting-edge machine learning, data mining, and anomaly detection techniques to design and prototype robust, scalable predictive models and analytics solutions. You will be a part of a cross-functional team of Data Scientists, Engineers, Product managers, and Business professionals that sit at the intersection of Data Science, Big data, IT infrastructure, and business operations. What you'll do... Design, build and implement predictive models with high-dimensional, fast moving real time datasets. Own fraud/abuse risks in a product or segment of a product, be a strategic partner to product development teams, sharing insights and providing recommendations through effective communication and storytelling with data. Use ML/AI, deep learning and data mining techniques to develop robust models for anomaly detection such as account takeover (ATO) risk detection, membership fraud and abuse, trial abuse, LTO abuse and bot attack. Build data visualizations and interactive dashboards for monitoring and sharing business insights internally and externally. Unique opportunities in research and US patent filings to address new fraud issues, develop new tools or automate processes. What you'll bring: Technical expertise in machine learning, statistical analytical and story telling Proficient in machine learning and data mining packages in Python. Experience working with large data sets and distributed computing tools (GCP/BigQuery experience preferred). Programming skills in one of the following languages: Java, or JavaScript on a UNIX or Linux platform Production deployment experiences preferred GenAI/Agentic AI experiences preferred " Please note: This job is available in Sunnyvale, CA location only and no current or future sponsorship is available. Candidates who do not need sponsorship are strongly encouraged to apply 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. Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the worlds 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. Walmarts culture is a competitive advantage, and its 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.

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