Data Scientist

4 days ago

Chennai Tamil Nadu, India Ford Motor Company Full time

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation.

Creating the future of smart mobility requires the highly intelligent use of data, metrics, and analytics. That’s where you can make an impact as part of our Global Data Insight & Analytics team. We are the trusted advisers that enable Ford to clearly see business conditions, customer needs, and the competitive landscape. With our support, key decision-makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision-making.

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.
- Master's or Ph.D. degree in Computer Science, Operations Research, Statistics, Applied Mathematics, or a related engineering discipline (preferred)
- Strong proficiency in Python programming and SQL
- Experience working with cloud technologies, preferably Google Cloud Platform (GCP)
- Demonstrated expertise in statistics, machine learning, optimization, and simulation
- Develop and implement data-driven solutions for forecasting, inventory planning, optimization, and logistics.
- Work with cross-functional teams to understand business requirements and translate them into clearly defined analytical problems.
- Develop and deploy analytical models in cloud environment.
- Communicate findings and recommendations effectively to business stakeholders at all levels.

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