Data Scientist

Short Description

Walmart is hiring for Data Scientist who will develop analytical models to drive analytics insights and presents data insights and recommendations to key stakeholders.

Job Description

Responsibilities:
  • Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans.
  • Develops analytical models to drive analytics insights.
  • Leads small and participates in large data analytics project teams.
  • Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity.
  • Participates in the continuous improvement of data science and analytics.
  • Presents data insights and recommendations to key stakeholders.
  • Provides and supports the implementation of business solutions.

Minimum Qualification:
Bachelor of Science and 2 years' data science experience OR Master of Science and 1 years' data science experience.

Preferred Qualification:
  • 4 years experience with SQL and relational databases (for example, DB2, Oracle, SQL Server).
  • 4 years experience with statistical programming languages (for example, SAS, R).
  • Bachelor's degree in Statistics, Economics, Analytics, Mathematics and 7 years experience in an analytics related field.
  • Certificate in business analytics, data mining, or statistical analysis.
  • Doctoral degree in Statistics, Economics, Analytics, or Mathematics and 1 year experience in an analytics related field.
  • Master's degree in Statistics, Economics, Analytics, or Mathematics and 3 years experience in an analytics related field.

Data Scientist
Mid-Senior-level Information Technology | Information | Technology Full-time Information Technology | Other Data Scientist | Data Science
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.
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