Data Scientist

Join the GDIA Quality Analytics team to deliver impactful data science solutions that drive quality improvements across our products and processes. You will design, build, and deploy end-to-end machine learning and analytics solutions, collaborating with engineers, business stakeholders, and fellow data scientists to solve high-value business problems.

 

 

 

 

Key Responsibilities

• Deliver end-to-end data science solutions: from problem definition, data exploration, and modeling to evaluation and deployment support. 
• Translate business needs into solvable data science problems and build consensus on technical approaches.
• Design and execute experiments (e.g., A/B tests) and conduct rigorous model evaluation using relevant metrics.
• Develop, deploy, and monitor production ML models and pipelines using Google Clould Platform (GCP) and MLOps tools (e.g., Kubeflow, MLflow, Airflow). 
• Collaborate with cross-functional teams (engineers, analysts, business partners) to ensure solutions are robust, scalable, and aligned with business objectives.
• Write high-quality, reproducible code and contribute to team coding standards and best practices.
• Document data sources, transformations, assumptions, and models clearly for technical and non-technical audiences.
• Stay current with DS/ML trends and proactively share knowledge with the team.

Required Qualifications

• Master’s degree in computer science, Data Science, Mathematics, Engineering, or related field.
• 2+ years of experience delivering impactful data science projects in a business setting.
• Proficiency in Python and SQL; experience with data science libraries (e.g., pandas, scikit-learn, XGBoost, TensorFlow/PyTorch).
• Hands-on experience with GCP and containerization/orchestration tools (Docker, Kubernetes).
• Experience deploying and monitoring ML models in production environments.
• Strong data visualization and communication skills; ability to present findings to varied audiences.
• Experience with version control (Git) and collaborative development workflows.
• Ability to work independently and as part of a team, managing multiple priorities.

Preferred Qualifications

• Experience with NLP, LLMs, or advanced ML techniques (e.g., deep learning, anomaly detection).
• Familiarity with MLOps practices and CI/CD pipelines for ML.
• Experience working with large, complex, or multimodal datasets.
• Demonstrated ability to lead small projects or mentor junior team members.

 

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including: • Immediate medical, dental, and prescription drug coverage• Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more• Vehicle discount program for employees and family members, and management leases• Tuition assistance• Established and active employee resource groups• Paid time off for individual and team community service• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day• Paid time off and the option to purchase additional vacation time.For a detailed look at our benefits, click here: Benefit Summary  This role is onsite in Dearborn, MI, you will be required on-site 4x a week. *Visa Sponsorship is NOT provided for this specific role**Relocation assistance IS NOT provided for this specific role* Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660. #LI-On-Site#LI-DS2  GSR6-8