The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics.
Responsibilities- Build an in-depth understanding of the business domain and data sources, demonstrating strong business acumen.
- Extract, analyze, and transform data using SQL for insights.
- Apply statistical methods and develop ML models to solve business problems.
- Design and implement analytical solutions, contributing to their deployment, ideally leveraging Cloud environments.
- Work closely and collaboratively with Product Owners, Product Managers, Software Engineers, and Data Engineers within an agile development environment.
- Integrate and operationalize ML models for real-world impact.
- Monitor the performance and impact of deployed models, iterating as needed.
- Present findings and recommendations effectively to both technical and non-technical audiences to inform and drive business decisions.
Qualifications:
- At least 3 years of relevant professional experience applying data science techniques to solve business problems. This includes demonstrated hands-on proficiency with SQL and Python.
- Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Engineering, Economics).
- Hands-on experience in conducting statistical data analysis (EDA, forecasting, clustering, hypothesis testing, etc.) and applying machine learning techniques (Classification/Regression, NLP, time-series analysis, etc.).
Technical Skills:
- Proficiency in SQL, including the ability to write and optimize queries for data extraction and analysis.
- Proficiency in Python for data manipulation (Pandas, NumPy), statistical analysis, and implementing Machine Learning models (Scikit-learn, TensorFlow, PyTorch, etc.).
- Working knowledge in a Cloud environment (GCP, AWS, or Azure) is preferred for developing and deploying models.
- Experience with version control systems, particularly Git.
- Nice to have: Exposure to Generative AI / Large Language Models (LLMs).
Functional Skills:
- Proven ability to understand and formulate business problem statements.
- Ability to translate Business Problem statements into data science problems.
- Strong problem-solving ability, with the capacity to analyze complex issues and develop effective solutions.
- Excellent verbal and written communication skills, with a demonstrated ability to translate complex technical information and results into simple, understandable language for non-technical audiences.
- Strong business engagement skills, including the ability to build relationships, collaborate effectively with stakeholders, and contribute to data-driven decision-making.
Skills Required
- At least 3 years of professional experience applying data science techniques to solve business problems, including hands-on proficiency with SQL and Python.
- Bachelor's or Master's degree in a quantitative field (Statistics, Computer Science, Mathematics, Engineering, Economics).
- Hands-on experience conducting statistical data analysis (EDA, forecasting, clustering, hypothesis testing) and applying machine learning techniques (classification/regression, NLP, time-series).
- Proficiency in SQL, including writing and optimizing queries for data extraction and analysis.
- Proficiency in Python for data manipulation and implementing ML models, using libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
- Experience with version control systems, particularly Git.
- Working knowledge in a Cloud environment (GCP, AWS, or Azure) for developing and deploying models.
- Exposure to Generative AI / Large Language Models (LLMs).
Ford Motor Company Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ford Motor Company and has not been reviewed or approved by Ford Motor Company.
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Pay Growth & Progression — The 2023 UAW–Ford agreement delivered immediate raises, restored cost-of-living adjustments, and accelerated progression to top rates for many hourly roles. These changes improved earnings trajectories compared with pre-2023 levels.
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Healthcare Strength — Hourly employees retained very low employee cost-sharing under the 2023–2028 UAW–Ford agreement, and salaried materials describe comprehensive day‑one medical, dental, and prescription coverage. Mental-health support and family‑building benefits add depth to the overall health package.
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Retirement Support — U.S. salaried roles feature a notable 401(k) contribution and match structure, and post‑2023 updates increased retirement contributions for many UAW‑represented employees. Together these elements strengthen long‑term financial security.
Ford Motor Company Insights
What We Do
Ford is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet. We are here to provide the means for every person to move and pursue their dreams, serving as a bridge between personal freedom and the future of mobility. In that pursuit, our 186,000 employees around the world help to set the pace of innovation every day.
