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 Warranty Analytics.

Responsibilities
- Build an in-depth understanding of the business domain and data sources, demonstrating solid 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
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 w

📌 Data Scientist (Chennai)
🏢 Ford Motor
📍 Chennai