Senior Data Scientist
Walmart | SUNNYVALE,CA,CA
This Job has stopped accepting applications | 4842 Views

Short Description

Walmart is hiring for Senior Data Scientist who has experience in managing end-to-end machine learning pipeline from data exploration, feature engineering, model building, performance evaluation, and online testing with big data set.

Job Description

Responsibilities and Educational Qualification:
  • Master's or PhD in Computer Science, Statistics or related field.
  • Hands on experience of machine learning, information retrieval, data mining, statistics, NLP or related field. 
  • Experience managing end-to-end machine learning pipeline from data exploration, feature engineering, model building, performance evaluation, and online testing with big data set.
  • Programming skills in one of the following languages: Java, Scala, C/C++. 
  • Experience with Scripting languages such as Python. 
  • Experience analyzing and interpreting the results of product experiments. 
  • Statistical languages such as R. 
  • Experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, or Spark). 
  • Ability to develop plans (experimental, analytic) for data modeling processes, creating baselines and accurately determine cause and effect.
  • Published paper(s) to forums.
  • Excellent communications, influential and presentation skills. 
  • Strong attention to data driven approach.
  • Prior Retail and Supply chain experience.
  • Worked with Operation users, Engineers and Product managers.

Senior Data Scientist
Mid-Senior-level Technology | Information Technology | Information Full-time Other | Engineering | Information Technology Data Science | Research Scientist | Data Scientist
Walmart Global eCommerce is comprised of Walmart.com, VUDU, SamsClub.com, 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.