Data Scientist

Ford • Dearborn, MI

12d

About The Position

Accessing and analyzing data to develop solutions, including leveraging advanced analytics tools and building ad-hoc data models Applying structured problem-solving mindset to sprints Considering enterprise-wide impact and sensitivity of sprint recommendations Communicating analysis insights and implications of sprint recommendations Apply and integrate latest analytical tools developed by Yield Management Advanced Analytics modeling team Assist in preparing presentations and reports for management and business customers Establishing the sprint mandate and problem statement with key stakeholders Delivering clear and actionable recommendations Established and active employee resource groups

Requirements

• Bachelors degree Computer Science, Economics, Analytics, Business, Strategy, Finance, or related field
• Experience with Google Cloud Platform (GCP) and programming/statistical software utilizing large datasets
• Knowledge of Marketing & Sales, including exposure to some combination of go-to-market strategy, brand marketing, field ops, sales, variable marketing, pricing, allocation, production, or supply chain
• Fast learning, hands on, aspirational and curious in technical excellence and innovation; have a lifetime learning attitude
• Be able to make reasonable judgment and conclusion with limited information and resources; be able to quickly convert a real business requirement into a solvable modeling problem, sort out relevant information, and judge the solution against business reality
• Executive communication experience (written and verbal)

Nice To Haves

• MBA or PhD degree in Statistics, Economics, Computer Science in an appropriate field of study

Responsibilities

• Accessing and analyzing data to develop solutions
• Leveraging advanced analytics tools and building ad-hoc data models
• Applying structured problem-solving mindset to sprints
• Considering enterprise-wide impact and sensitivity of sprint recommendations
• Communicating analysis insights and implications of sprint recommendations
• Apply and integrate latest analytical tools developed by Yield Management Advanced Analytics modeling team
• Assist in preparing presentations and reports for management and business customers
• Establishing the sprint mandate and problem statement with key stakeholders
• Delivering clear and actionable recommendations

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees