Ford Motor Company

Data Scientist

Ford Motor Company · Chennai, Tamil Nadu, India

Motor Vehicle Manufacturing · 10,001+ employees

4 h ago Closes today
Mid (2-5 yrs) Full-time India
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About the role

Develop scalable analytical solutions for complex real-world problems using machine learning, statistics, and optimization. Collaborate within project teams to translate business challenges into analytical models and deliver actionable insights to stakeholders.

What they look for

Python Machine Learning Big Data Statistics Econometrics Optimization Data Mining Statistical Modeling SQL NumPy Pandas Matplotlib Scikit-learn TensorFlow PyTorch Google Cloud Platform

Requirements

Requires a bachelor's degree in a quantitative field and at least 3 years of hands-on experience with Python and machine learning libraries. Candidates must demonstrate proficiency in SQL, statistical modeling, and the ability to communicate complex data findings effectively.

Full description

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 Quality Analytics.

Potential candidates should have excellent depth and breadth of knowledge in machine learning, data mining, and statistical modeling. They should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis.