Ford's Supply Chain Analytics team is looking to solve complex business problems, improve operational efficiency, and make data-driven decisions that impact the future of the company by leveraging advanced data analytics and the latest tools.
Requirements
- Experience with Data transformation and analysis: Python, SQL, R, Alteryx, MINITAB, CPLEX, Any Logic
- Experience with Visualization tools such as: QlikSense, Power BI, Google Looker studio, Dash, Tableau, Matplotlib, and Seaborn
- Experience with Databases technologies such as: Google Big Query, AWS, Hadoop, or SAP
- Ability to extract actionable insights from data
- Experience using SQL to extract, clean, and transform data in large, complex, nested databases
- Experience using programming languages such as Python or R in a cloud platform
- Strong foundational knowledge of machine learning algorithms (e.g., supervised, unsupervised, reinforcement learning, deep learning) and statistical modeling techniques.
Responsibilities
- Drive improvements in Ford’s supply chain operations through big data analysis and modeling
- Develop innovative tools that translate complex business problems into actionable data science solutions for key stakeholders
- Leverage cutting-edge technologies such as Google Cloud Platform (GCP) to support more informed decision-making
- Execute digital transformation projects to improve supply chain operations
- Deliver tangible value for customers and stakeholders through data-driven insights and solutions
- Perform data exploration, feature engineering, and data preprocessing to prepare diverse datasets for model training and evaluation.
- Communicate complex analytical findings and technical concepts clearly and concisely to both technical and non-technical stakeholders.
Other
- This is a hybrid position, with requirement to be in office 4 days a week.
- Bachelor’s degree in Data Science, Engineering, Computer Science, or other quantitative area
- 1+ years of experience as a researcher, analyst, data scientist or solution developer
- Excellent written and verbal communication skills and strong intellectual curiosity with the ability to work effectively in a cross-functional team environment.
- Visa sponsorship is available for this position.
