Analyst-Data Science
Ford Motor Company (company site, opens in a new tab)2+ yrsChennaiHybridDirect career pageEst. 12–20 LPA
Posted 3d ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain high-accuracy short-term and long-term demand forecasts using time-series and ML models at Automotive Segmentation and Powertrain levels.
- Integrate Generative AI and modern AI tools to automate workflows and enhance data insights.
- Lead forecasting reviews and present data-driven recommendations to senior stakeholders across Sales, Marketing, and Finance.
Minimum Requirements
- 2+ years of experience in data analytics, forecasting, or strategic planning; automotive experience is a significant plus.
- Bachelor’s or Master’s degree in Data Science, Statistics, Economics (or related fields).
- Proficiency in Python or R for data preparation, statistical analysis, and predictive modeling; SQL skills highly preferred.
- Experience with time-series forecasting methods (ARIMA, Prophet), classical and machine learning techniques, and AI tool integration (LLMs, GitHub Copilot).
Ideal Candidate Profile
- Experienced in managing end-to-end lifecycle of analytical forecasting projects in a data science or analytics function.
- Strong technical coding skills combined with ability to translate complex data into actionable business insights and presentations.
- Familiarity with automotive industry dynamics, especially demand forecasting at segmentation and powertrain levels, and strategic engagement with cross-functional teams.