Data Scientist

Walmart Stores SAN BRUNO, CA

About the Job

Position Description


At Walmart Labs, we’re reinventing the world’s leading retail platform, leveraging our unique strengths to deliver the best customer experience wherever our customers shop. Imagine an environment where one line of code, one experiment, or one idea has the power to catapult an entire industry towards a smarter future. Better yet, imagine if that power could be yours, every day. That’s what we do at Walmart Labs.

While we are tech-empowered, we are people-led. We’re a team of 4,000+ software engineers, data scientists, designers and product managers within Walmart and across the world, delivering innovations that transform how our customers shop and how our enterprise operates. Our technologists solve some of the most complex problems at Walmart, building solutions that impact hundreds of millions of people for the world’s largest retailer.

Our engineering teams live on the front line of e-commerce innovation. We're made up of engineering, UX, product management, along with web and technology evangelists, and we're rapidly iterating new products and site features at scale. We deliver high performing solutions - from our next gen front-end platform (node.js and react.js) to our best-in-class backend payments platform which powers web, mobile and API solutions. Continuous innovation and immediate feedback by billions of customers make this work incredibly exciting!

What You'll Do:

  • Research new trends in the industry and utilize up-to-date technology (for example, HBase, MapReduce, LAPack, Gurobi) and analytical skills to support assigned projects.
  • Build complex data sets from multiple data sources, both internally and externally.
  • Build learning systems to analyze and filter continuous data flows and offline data analysis.
  • Combine data features to determine search models.
  • Conduct advanced statistical analysis to determine trends and significant data relationships.
  • Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans
  • Develop custom data models to drive innovative business solutions.
  • Develop models of current state in order to determine needed improvements.
  • Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity
  • Provides and supports the implementation of business solutions
  • Research new techniques and best practices within the industry.
  • Scale new algorithms to large data sets.
  • Train algorithms to apply models to new data sets.
  • Utilize system tools including (MySQL, Hadoop, Weka, R, Matlab,ILog).
  • Validate models and algorithmic techniques.
  • Work with cross-functional partners across the business

Minimum Qualifications


  • Bachelor of Science and 2 years' data science experience OR Master of Science and 1 years' data science experience.

Additional Preferred Qualifications


  • 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 Computer Science or Data Science and 7 years experience in an analytics related field.
  • Certificate in business analytics, data mining, or statistical analysis.
  • Doctoral degree in Computer Science, Data Science, Statistics, Economics, Analytics, or Mathematics and 1 year experience in an analytics related field.
  • Master's degree in Computer Science or Data Science and 3 years experience in an analytics related field.

Company Summary


The Walmart eCommerce team is rapidly innovating to evolve and define the future state of shopping. As the world’s 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 Summary


At Walmart Labs, we’re reinventing the world’s leading retail platform, leveraging our unique strengths to deliver the best customer experience wherever our customers shop. Imagine an environment where one line of code, one experiment, or one idea has the power to catapult an entire industry towards a smarter future. Better yet, imagine if that power could be yours, every day. That’s what we do at Walmart Labs.

While we are tech-empowered, we are people-led. We’re a team of 4,000+ software engineers, data scientists, designers and product managers within Walmart and across the world, delivering innovations that transform how our customers shop and how our enterprise operates. Our technologists solve some of the most complex problems at Walmart, building solutions that impact hundreds of millions of people for the world’s largest retailer.

Our engineering teams live on the front line of e-commerce innovation. We're made up of engineering, UX, product management, along with web and technology evangelists, and we're rapidly iterating new products and site features at scale. We deliver high performing solutions - from our next gen front-end platform (node.js and react.js) to our best-in-class backend payments platform which powers web, mobile and API solutions. Continuous innovation and immediate feedback by billions of customers make this work incredibly exciting!

What You'll Do:

  • Research new trends in the industry and utilize up-to-date technology (for example, HBase, MapReduce, LAPack, Gurobi) and analytical skills to support assigned projects.
  • Build complex data sets from multiple data sources, both internally and externally.
  • Build learning systems to analyze and filter continuous data flows and offline data analysis.
  • Combine data features to determine search models.
  • Conduct advanced statistical analysis to determine trends and significant data relationships.
  • Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans
  • Develop custom data models to drive innovative business solutions.
  • Develop models of current state in order to determine needed improvements.
  • Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity
  • Provides and supports the implementation of business solutions
  • Research new techniques and best practices within the industry.
  • Scale new algorithms to large data sets.
  • Train algorithms to apply models to new data sets.
  • Utilize system tools including (MySQL, Hadoop, Weka, R, Matlab,ILog).
  • Validate models and algorithmic techniques.
  • Work with cross-functional partners across the business