Data Scientist

Ford’s Yield Management team is hiring a Data Scientist to support collaborative “Value Sprints” with advanced analytics, profit optimization, and decision analysis.

Responsibilities

• Access and analyze data to develop solutions, including advanced analytics and ad-hoc data models
• Apply a structured problem-solving mindset during sprints
• Define the sprint mandate and problem statement with key stakeholders
• Lead analysis and develop insights and implications of decisions
• Consider enterprise-wide impact and sensitivity of sprint recommendations
• Communicate analysis insights, implications, and outcomes of recommendations
• Deliver clear and actionable recommendations based on modeling results
• Apply and integrate latest analytical tools built by the Yield Management Advanced Analytics modeling team
• Prepare presentations and reports for management and business customers
• Perform analysis and modeling across Yield Management scope:
  • Profit optimization & decision analysis
  • Vehicle line demand estimation
  • Price sensitivity analysis
  • Counter-factual modeling
  • Hypothesis testing

Requirements

• Bachelor’s degree in Computer Science, Economics, Analytics, Business, Strategy, Finance, Mathematics/Statistics, or related field
• 5+ years of relevant experience in Computer Science, Economics, Analytics, Business, Strategy, Finance, or related field
• 3+ years using various modeling methodologies, including economics, econometrics, statistics, and data mining; ability to explain results to a non-technical audience
• 3+ years of experience with Microsoft Excel and PowerPoint
• 3+ years in Python and database languages such as SQL

Technologies

• Python
• SQL
• Microsoft Excel
• Microsoft PowerPoint
• Google Cloud Platform (GCP)

Benefits

• Immediate medical, dental, vision, and prescription drug coverage
• Flexible family care days
• Paid parental leave, new parent ramp-up programs, and subsidized back-up child care
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members, plus management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• Generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and option to purchase additional vacation time

Job details

• Job ID: 69066
• Category: Marketing & Sales
• Location: Dearborn, Michigan (hybrid)
• Work type: Hybrid
• Salary: USD 63,480 - 162,120 per year (salary grades 5-8)
• Visa sponsorship: Available for this position
• Employment eligibility: Candidates must be legally authorized to work in the United States; verification required at hire
• Hybrid onsite expectation: Candidates in commuting distance to a Ford hub location may be required to be onsite four or more days per week
• Tags: #LI-Hybrid #LI-LS1

Additional Information

• Intersection of strategy, operations, and analytics, creating change and maximizing profits in the Ford+ plan
• Immediate team is highly collaborative and fast-paced
• High-exposure role with ongoing interaction with leadership across Ford Blue, Model e, and Ford Pro
• Cross-functional collaboration across Marketing & Sales, Brand, Product Marketing, General Management, GDI&A, Finance, and Ford Credit

Additionally, Data Scientists Support

• Establishing the sprint mandate and problem statement with key stakeholders
• Leading analysis and developing insights and implications of decisions
• Delivering clear and actionable recommendations

Even Better, You May Have

• MBA or PhD degree in Statistics, Economics, Computer Science in an appropriate field of study
• 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 with hands-on focus on technical excellence and innovation; lifetime learning attitude
• Ability to make reasonable judgment and conclusions with limited information and resources, and quickly convert business requirements into modeling problems
• Executive communication experience (written and verbal)