(USA) Staff, Data Scientist - Ad. Tech.

Position Summary...

What you'll do...

The mission of the Advertising Technology organization is to advance Walmart eCommerce 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 and performance advertising products that drive discovery, sales, and profits. About the team: We are a highly motivated group of Big Data Geeks, Machine Learning Scientists and Applications Engineers, working in small agile group to solve sophisticated and high impact problems. We are building smart data systems that ingest, model, and analyze massive flow of data from online and offline user activity. We use cutting edge machine learning, data mining and optimization algorithms on ad relevance, ranking and campaign optimization.  You’ll make an impact by: 

• Research, design, and implement data models and cutting edge algorithms on high-dimensional, fast-moving, unstructured and structured data.
• Process complicated and large scale datasets using distributed computing platform, extract insights from data, predict future trends, and optimize towards business metrics.
• Build advanced feature extraction algorithms that feed into various advertising applications, including audience targeting, relevance and ranking, measurement and optimization.
• Build machine learning and statistical models to predict or estimate key signals that are used to optimize advertising product performance.
• Run large scale statistical A/B testing to evaluate performance of machine learning and statistical models in advertising applications which serve hundreds of millions of impressions per day.
• Build compelling data visualizations and interactive dashboards for monitoring and sharing business insights internally and externally.

What you will have: 

• You’re experienced with traditional as well as modern machine learning/statistical techniques, including Regression, Classification, Ensemble Methods, Deep Learning and Reinforcement Learning.
• You have strong implementation experience with Python preferred. 
• You have strong hands-on skills in sourcing, cleaning, manipulating, and analyzing large volumes of data using distributed computing platform. 
• You have a Ph.D. in a computational science with an emphasis in Machine Learning. 
• 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. 
• 2+ years of experience mentoring junior data scientists or machine learning team.

Plus if you have: 

• You have experience in online advertising, recommender system, ranking, ecommerce or relevant areas. 

About Walmart Global Tech Imagine working 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 experts and service professionals within the world's leading retailer who make epic impact and are leading the next retail disruption. People are why we innovate, and people power our innovations. Who We Are Join Walmart and your work could help approximately 220 million global customers live better every week. Yes, we are the Fortune #1 company. But you'll quickly find we're a company who wants you to feel comfortable bringing your whole self to work. Our mission spreads far beyond the walls of our stores. Here at the world’s leading retailer, you can make career defining accomplishments, learn new skills, gain experience from virtually every industry and leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Discover why we are a world leader in technology, belonging, sustainability and community involvement. careers.walmart.com. 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, ide