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Staff Data Scientist -


Sunnyvale, CA 94086
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1007081BRReq ID:1007081BRCompany Summary:Walmart Global eCommerce is comprised of, VUDU,, and our technical powerhouse @WalmartLabs. Here, innovators incubate next gen e-commerce solutions in real-time. We integrate online, physical, and mobile shopping experiences for billions of customers around the globe. How do we do it? We continuously build and invest in new technology including open source tools and big data innovations. Data scientists, front and back-end engineers, product managers, and web and UX/UI teams collaborate alongside e-commerce experts to envision, prototype, and bring revolutionary ideas to life in a dynamic, flexible and fun work culture.Job Title:Staff Data Scientist -Position Summary:We at WalmartLabs are taking a big data approach to the sophisticated problem of real-time pricing and the opportunity for you to have visible impact couldn't be bigger! Think about every single indicator that influences the price of a retail product...and now think about how often those indicators change on a daily or minute by minute basis. Now multiply that by the Walmart scale. You get the idea.

We are a highly motivated group of Big Data Geeks, Data Scientists and Applications Engineers, working in small agile group to solve this sophisticated problem. We are building smart data systems that ingest, model and analyze massive flow of data from online, social, mobile and offline commerce/user activity to set prices for millions of products in real time. We use cutting edge machine learning, data mining and optimization algorithms underneath it all to analyze all this data on top of Hadoop/HBase/Hive. We then build compelling data visualizations and interactive dashboards to showcase our work internally and externally.

Your work will be immediately visible to millions of people and you will have a direct impact on the business goals of Fortune #1 company. If you talk, speak and think data we want to talk to you. Come join our small team and be part of the journey from the beginning.

The Opportunity:

\" Research, design and implement data models and cutting edge algorithms to analyze diverse sources of data to predict fraud.

\" Work with high dimensional and fast moving data to build continually learning systems

\" Through your work have direct impact on revenue and bottom lineCity:SUNNYVALEState:CAPosition Description:Imagine if you could own and build from scratch multi-billion dollar data products and have a direct impact on the business goals of Fortune #1 company. Imagine you can do a lot more than programming your favorite machine learning algorithms and get the entire experience of a data scientist who owns real products. If you can get the machine learning right and are passionate about payments risk management, you can achieve that by joining our team.

In our team, the ability to simplify and to jump between product management, modeling, and programming is critical.

Primary job responsibilities are to design, develop and maintain predictive statistical models and strategies for Walmart Online Grocery. This role also offers a unique opportunity to innovate and improve on ways that leverage, Walmart Stores and the interphase between physical and digital. In a normal day you might be:

\" Designing, developing and managing real-time predictive models for payment risk, and other business use cases.

\" Preparing and extracting data from large databases.

\" Analyzing data covering a wide range of information from user profile, network links and transaction history. Identifying new behavior patterns through data mining and machine learning.

\" For each modeling project, design its best structure and selecting the most appropriate modeling technique which may include a combination of several modeling techniques like logistic regression, clustering algorithms, collaborative filtering algorithms, decision trees and neural networks.

\" Analyzing model performance and communicating model design and performance results to senior management.

\" Working with product managers and engineering in deploying models.

\" Providing on-going performance tracking reports and managing model related issues continually.Minimum Qualifications:\" M.S. or Ph.D. in Statistics, Mathematics, Computer Science, Operations Research or other quantitative, engineering area is required

\" 3+ years of experience in statistical data analysis and predictive modeling using statistical tools like R, SAS, or Python

\" Experience in analyzing massive and highly complex data sets, performing ad-hoc analysis and data manipulation

\" A passion for excellence in analytics

\" A can-do attitude to carry out a project from design to production on a timely basis

\" Great communication skills, strong project management skills and teamwork, and superb attention to details

\" Proficiency in, SQL, Hive and UNIX is required

\" Spark/Scala experience and knowledge of algorithm design principles is desired.Category:Data Science / Machine Learning Division:Walmart LabsDivision Summary:@WalmartLabs is the technical powerhouse behind Walmart Global eCommerce. We employ big data at scale -- from machine learning, data mining and optimization algorithms, to modeling and analyzing massive flows of data from online, social, mobile and offline commerce. We dont just engineer cool websites, mobile apps, and new services; we use our own open source tools to create the framework. Deployment is automated and accelerated through our open cloud platform. This makes us incredibly nimble and able to adjust in real-time to our global customers.Employment Type:Full TimeRequisition Template:eCommerce
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