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Data Scientist - Anti-Fraud

Walmart


Location:
Sunnyvale, CA 94086
Date:
03/23/2018
2018-03-232018-05-14
Walmart
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Job Details

1015237BRReq ID:1015237BRCompany Summary:The Walmart eCommerce team is rapidly innovating to evolve and define the future state of shopping. As the worlds largest retailer, we are on a mission to help people save money and live better. With the help of some of the brightest minds in technology, merchandising, marketing, supply chain, talent and more, we are reimagining the intersection of digital and physical shopping to help achieve that mission.Job Title:Data Scientist - Anti-FraudPosition Summary:Ready to give the customers an Omni-channel experience for all their shopping? We at WalmartLabs are taking a big data approach to the sophisticated problem of real-time fraud detection and the opportunity for you to have visible impact couldnt be bigger!City:SUNNYVALEState:CAPosition Description:Ready to give the customers an Omni-channel experience for all their shopping? We at WalmartLabs are taking a big data approach to the sophisticated problem of real-time fraud detection and the opportunity for you to have visible impact couldnt be bigger!



We are a highly motivated group of Big Data Geeks, Data Scientists and Applications Engineers, working in a 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 this data on top of Hadoop/HBase/Hive. We 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.



Opportunity:

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

For each modeling project, preparing and extracting data from large databases, designing 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.

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

Working with product managers and engineering in deploying models.

Providing on-going performance tracking reports and managing model related issues continually.

Through your work have direct impact on revenue and bottom lineMinimum Qualifications: MS/PhD in Computer Science/ Analytics/ Operations Research/Statistics or a related technical discipline

1-2 years of experience in data analytics, predictive modeling and machine learning using R, Python or similar statistical tools

Proficiency in database concepts, SQL, Hive and UNIX is required

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

A passion for excellence in analytics and machine learning

Experience in programming languages would be a plus

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

Attitude to thrive in a fun, fast-paced start-up environment with stellar team of fellow data geeksCategory: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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