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Staff Data Scientist

Company: Walmart eCommerce
Location: Sunnyvale
Posted on: June 14, 2019

Job Description:

Position DescriptionWe 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.

This opportunity:

. Focus on supporting comprehensive data flows' anomaly detection across Merchant Technology platforms (Catalog, Search, and Price)

. Build cutting-edge models for realtime data flows across the purchase funnelMinimum Qualifications- MS/PhD in Operations Research/Statistics/Computer Science or a related technical discipline



  • 5 working years experience in data quality
  • 3-5 working years experience in anomaly detection
  • 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 geekAdditional Preferred Qualifications--- Familiarity with Deep Learning
  • Contributions to open source ML projectsCompany SummaryThe 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.Position SummaryLead Data Science for Operational Analytics/Anomaly Detection


    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.

    This opportunity:

    . Focus on supporting comprehensive data flows' anomaly detection across Merchant Technology platforms (Catalog, Search, and Price)

    . Build cutting-edge models for realtime data flows across the purchase funnel

Keywords: Walmart eCommerce, Sunnyvale , Staff Data Scientist, Other , Sunnyvale, California

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