FY20 Intern Conversion: Data Scientist

Walmart eCommerce - San Bruno, CA3.5

InternshipEstimated: $83,000 - $110,000 a year
Skills
Position Description

A Data Scientist is responsible for analyzing large data sets to develop custom models and algorithms to drive business solutions. Data Scientists work on project teams in order to provide analytical support to projects (for example, email targeting, business optimization, consumer recommendations) for Walmart eCommerce. Data Scientists are responsible for building large data sets from multiple sources in order to build algorithms for predicting future data characteristics. Those algorithms will be tested, validated, and applied to large data sets. Data Scientists are responsible for training the algorithms so they can be applied to future data sets and provide the appropriate search results. Data Scientists are responsible for researching new trends in the industry and utilizing up-to-date technology (for example, HBase, MapReduce, LAPack, Gurobi) and analytical skills to support their assigned project.
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

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
Additional Preferred Qualifications

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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

A Data Scientist is responsible for analyzing large data sets to develop custom models and algorithms to drive business solutions. Data Scientists work on project teams in order to provide analytical support to projects (for example, email targeting, business optimization, consumer recommendations) for Walmart eCommerce. Data Scientists are responsible for building large data sets from multiple sources in order to build algorithms for predicting future data characteristics. Those algorithms will be tested, validated, and applied to large data sets. Data Scientists are responsible for training the algorithms so they can be applied to future data sets and provide the appropriate search results. Data Scientists are responsible for researching new trends in the industry and utilizing up-to-date technology (for example, HBase, MapReduce, LAPack, Gurobi) and analytical skills to support their assigned project.
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