Expired
Company:
McDonald's Corporation
Location: Chicago
Closing Date: 18/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Job Description
We are looking for a Manager, Data Scientist to join our Data Science and Engineering team within Enterprise Data, Analytics and AI (EDAA). EDAA is responsible for turning the System's data into a winning advantage, empowering a data-centric System making faster and better decisions.
As a Manager, Data Scientist, you will build predictive models and other analytics solution to generate business value. In this role, you will build relationships with stakeholders and cross-functional partners across the globe.
Role and Responsibilities:
Partner with stakeholders to understand business problems and design scalable solutions
Apply statistical and machine learning methods to analyze large, complex data sets
Identify and understand the necessary data sources for projects and efficient ways to clean and transform it
Work with Global Technology to ensure that solutions are up to current standards and best practices
Calculate and track the business value that solutions are generating
Build presentations to clearly communicate project statuses and results
Continuously learn and build new skills in data science, machine learning operations, and technologies and platforms
We are looking for a Manager, Data Scientist to join our Data Science and Engineering team within Enterprise Data, Analytics and AI (EDAA). EDAA is responsible for turning the System's data into a winning advantage, empowering a data-centric System making faster and better decisions.
As a Manager, Data Scientist, you will build predictive models and other analytics solution to generate business value. In this role, you will build relationships with stakeholders and cross-functional partners across the globe.
Role and Responsibilities:
Partner with stakeholders to understand business problems and design scalable solutions
Apply statistical and machine learning methods to analyze large, complex data sets
Identify and understand the necessary data sources for projects and efficient ways to clean and transform it
Work with Global Technology to ensure that solutions are up to current standards and best practices
Calculate and track the business value that solutions are generating
Build presentations to clearly communicate project statuses and results
Continuously learn and build new skills in data science, machine learning operations, and technologies and platforms