By bringing together online, mobile, and social with our 11,000+ stores around the world, Walmart eCommerce is creating a seamless experience for customers to shop in the way that’s most convenient for them-anytime and anywhere. When you combine our unmatched assets in retail with our commitment to building best-in-class eCommerce capabilities, we’re positioned to serve customers in ways no one else can. Do you like big data? Like really big data? Like multi-petabyte data sets with billions of rows? Do you like the idea of pulling, pushing, slicing, and dicing this data in real-time using Hadoop, Hbase, Hive and more? Now let’s add some intelligence to the mix using machine learning, data mining, and predictive analytics and shazam – you have the underpinnings of the Demand Generation team @WalmartLabs.
A large fraction of sales for the biggest brands on earth (Coca-Cola, Pampers, Reese’s) run through Walmart. Which means that the data we collect is the most complete, accurate and reliable compilation of transactions – anywhere. So we sit at the intersection of big data, predictive analytics, and Walmart’s trillion-dollar bottom line as we leverage multiple data sources and apply sophisticated machine learning and data mining algorithms to determine, in close to real time, how, when, where, and for how much we can acquire customers across the multitude of online and offline acquisition channels. By sheer nature of our sample size, @WalmartLabs is in a position to do something that no one else can do: determine, with little-to-no variance, exactly who companies should target with their advertisements, and exactly how to do so.
Right now we are leveraging the largest scale retail sales data there is on the planet and building a large-scale system that can process hundreds of millions of events per day to increase the lifetime value of existing and potential customers via targeted, event triggered marketing. Position Description • Demonstrates up-to-date expertise in Software Engineering and applies this to the development, execution, and improvement of action plans • Leads and participates in medium- to large-scale projects • Leads the discovery phase of medium to large projects to come up with high level design • Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity • Provides and supports the implementation of business solutions • Provides support to the business • Troubleshoots business and production issues
By bringing together online, mobile, and social with our 11,000+ stores around the world, Walmart eCommerce is creating a seamless experience for customers to shop in the way that’s most convenient for them-anytime and anywhere. When you combine our unmatched assets in retail with our commitment to building best-in-class eCommerce capabilities, we’re positioned to serve customers in ways no one else can. Do you like big data? Like really big data? Like multi-petabyte data sets with billions of rows? Do you like the idea of pulling, pushing, slicing, and dicing this data in real-time using Hadoop, Hbase, Hive and more? Now let’s add some intelligence to the mix using machine learning, data mining, and predictive analytics and shazam – you have the underpinnings of the Demand Generation team @WalmartLabs.
A large fraction of sales for the biggest brands on earth (Coca-Cola, Pampers, Reese’s) run through Walmart. Which means that the data we collect is the most complete, accurate and reliable compilation of transactions – anywhere. So we sit at the intersection of big data, predictive analytics, and Walmart’s trillion-dollar bottom line as we leverage multiple data sources and apply sophisticated machine learning and data mining algorithms to determine, in close to real time, how, when, where, and for how much we can acquire customers across the multitude of online and offline acquisition channels. By sheer nature of our sample size, @WalmartLabs is in a position to do something that no one else can do: determine, with little-to-no variance, exactly who companies should target with their advertisements, and exactly how to do so.
Right now we are leveraging the largest scale retail sales data there is on the planet and building a large-scale system that can process hundreds of millions of events per day to increase the lifetime value of existing and potential customers via targeted, event triggered marketing. Position Description •Demonstrates up-to-date expertise in Software Engineering and applies this to the development, execution, and improvement of action plans •Leads and participates in medium- to large-scale projects •Leads the discovery phase of medium to large projects to come up with high level design •Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity •Provides and supports the implementation of business solutions •Provides support to the business •Troubleshoots business and production issues Bachelor’s Degree in Computer Science or related field and 5 years experience OR Master’s Degree in Computer Science or related field, building scalable ecommerce applications or mobile software
