Data Scientist

Job Summary

The Senior Data Scientist designs and implements advanced systems supporting cross-domain manufacturing analytics. This role operates at the intersection of optimization, enterprise data integration, and applied analytics to enable data-driven decision-making across complex business workflows.

The position combines strong technical modeling expertise with enterprise data engineering experience and the ability to operate effectively in cross-functional, evolving environments.

Key Responsibilities

• Design, develop, and maintain Python-based optimization models supporting demand elasticity, production planning, and constraint-based decision systems.
• Translate complex business problems into structured analytical and optimization frameworks.
• Build and maintain enterprise data pipelines using BigQuery, Google Cloud Storage (GCS), SQL, and Python.
• Integrate heterogeneous enterprise datasets into structured, analysis-ready environments.
• Perform data reconciliation, fuzzy matching, and standardization across inconsistent systems to ensure analytical integrity.
• Develop lightweight internal applications (e.g., Dash or Streamlit) to operationalize analytical outputs for business users.
• Contribute to containerized deployments (e.g., Docker) to support scalable and maintainable delivery of decision tools.
• Partner with cross-functional stakeholders to define requirements and validate analytical outputs.
• Support semantic alignment across systems through feature consistency, cross-system mapping, and ontology-informed modeling approaches.
• Document modeling assumptions, data transformations, and system dependencies to enable reproducibility and reuse.
• Continuously improve model performance, data quality, and deployment efficiency.

Required Qualifications

• Bachelor’s degree in Data Science, Engineering, Mathematics, Computer Science, Operations Research, or a related field.
• 3+ years of experience developing analytical or optimization models in Python.
• Experience building and maintaining data pipelines using SQL and cloud-based platforms such as BigQuery and GCS.
• Strong proficiency in Python for data analysis and modeling (pandas, NumPy, Pyomo, or similar optimization libraries).
• Experience integrating and standardizing heterogeneous enterprise datasets.
• Familiarity with containerization concepts (e.g., Docker) and deploying lightweight applications in cloud environments.
• Ability to translate business problems into structured analytical frameworks.
• Strong written and verbal communication skills with cross-functional collaboration experience.

Work Arrangement

This position is remote. Candidates residing within 50 miles of Dearborn, MI are required to work on-site four days per week.

Visa sponsorship and relocation assistance are provided for this specific role.

Benefits

• Immediate medical, dental, vision, and prescription drug coverage.
• Flexible family care days and paid parental leave.
• New parent ramp-up programs and subsidized backup childcare.
• Family-building benefits including adoption, surrogacy, and fertility support.
• Employee and family vehicle discount program and management leases.
• Tuition assistance.
• Active employee resource groups.
• Paid time off for community service.
• Generous paid holiday schedule, including the week between Christmas and New Year’s Day.
• Paid time off with the option to purchase additional vacation time.

Equal Opportunity Statement

Ford Motor Company is committed to fostering a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation