Data Scientist
Ford
The role will be in one of the different teams in GDI&A (Manufacturing Analytics).
1. Potential candidates should possess a strong analytical mindset and be very comfortable with processing and manipulating large data sets in various formats.
2. Familiarity with analytics methods (descriptive/predictive/prescriptive) and Business Intelligence tools (Python, Dash, PowerBI) would be a definite plus.
3. Exposure to Cloud technologies (e.g., Google Cloud), including executing Machine Learning algorithms on Cloud would be definite plus.
4. Candidates should display interest and initiative in translating a business problem into an analytical problem and determining the appropriate analytical methods to be used.
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