Data Scientist

Ford Motor Company

Ford Motor Company invites innovative thinkers to join their Global Data Insight & Analytics team. As a leader in redefining mobility, Ford relies on quality data and analysis to guide business decisions. This position aims to support vehicle design and cost analytics, making a significant impact through data-driven insights.

In this role you can expect to have the responsibilities:

• Understand vehicle engineering challenges and model them mathematically
• Handle large, complex datasets with SQL, BigQuery, and Python
• Create business solutions through data acquisition and visualization
• Develop analytic products using statistical analysis and machine learning
• Communicate model results to diverse audiences
• Collaborate with engineers and designers across functions
• Build stakeholder trust through timely results
• Ensure data quality and solution integrity
• Train and maintain tools for business partners
• Gather user feedback to improve analytic products

This role comes with the following benefits:

• Immediate health coverage
• Flexible family care benefits
• Family building benefits
• Employee vehicle discount program
• Tuition assistance
• Employee resource groups
• Paid community service days
• Generous paid holidays
• Flexible vacation options

This role requires you to have:

• Bachelor’s degree in quantitative discipline
• 3+ years using Python, SQL or BigQuery
• Real-world data experience
• 1+ years in Machine Learning Operations
• Experience with cloud systems like GCP
• Strong organizational skills and independence
• Team collaboration and communication

You would benefit from having:

• Advanced degree in a quantitative field
• Cost modeling or mechanical engineering knowledge
• 5+ years in Python, SQL, and BigQuery
• Experience with data mining and machine learning ops
• Advocate for technical solutions

Ford offers visa sponsorship and encourages diverse applicants. They are committed to equal opportunity employment and provide reasonable accommodations for application processes. Hybrid work may require up to three days onsite for those near Ford hubs.