Data Scientist - Anti-Fraud
Position Description
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 state of the art 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 groundbreaking algorithms to analyze diverse sources of data to predict fraud.
- Work with high dimensional and dynamic data to build continually learning systems
- Through your work have direct impact on revenue and bottom line
#LI-JC1
Minimum Qualifications
- MS/PhD in Operations Research/Statistics/Computer Science or a related technical discipline
- You should have at least seven years experience ideally in a Risk or Fraud environment.
- Extensive Experience with R, SAS, SPSS, data mining, machine learning, statistical modeling tools and underlying algorithms
- Programming experience in one of the languages like Python/Ruby/Perl/Shell/C/Java
- Working knowledge of Relational Data Base Systems and SQL
- Attitude to thrive in a fun, dynamic start-up environment with stellar team of fellow data geeks
Additional Preferred Qualifications
Company Summary
Walmart Global eCommerce is comprised of Walmart.com, VUDU, SamsClub.com, and our technical 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.Estimated Salary: $20 to $28 per hour based on qualifications.
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