Data Science Analyst

Ford Motor Company

. Develop and maintain high-accuracy short-term and long-term demand forecasts at Automotive Segmentation and Powertrain levels .

Posted 11/9/2026full-timeChennai • IndiaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining demand forecasts using time-series and machine learning models, with proficiency in Python and SQL for data analysis. Strong ability to translate complex data insights into actionable business recommendations, particularly within the automotive sector.

Highest-signal resume keywords

Time-Series ForecastingMachine Learning AlgorithmsPython ProficiencyData Analytics ExperienceAutomotive Industry Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Time-Series ForecastingMachine LearningStatistical AnalysisHypothesis TestingARIMARegressionRandom ForestGradient BoostingSQLData Visualization

Soft Skills

Strong Communication SkillsPresentation SkillsCollaboration

Tools & Technologies

PythonPandasNumPyMatplotlibScikit-learnPower BITableauMS ExcelGenerative AI ToolsGitHub Copilot

Industry Keywords

Automotive SegmentationDemand ForecastingMarket TrendsMacroeconomic InfluencesData-Driven Recommendations

Tech Stack

Tools & technologies

NumpyPandasPythonScikit-LearnSQLTableau

About the role

Key responsibilities & impact

Develop and maintain high-accuracy short-term and long-term demand forecasts at Automotive Segmentation and Powertrain levels
Build, validate, and deploy time-series models and machine learning algorithms to identify market trends, seasonal patterns, and macroeconomic influences
Integrate Generative AI, Agentic AI, and other modern AI tools into daily workflows to automate repetitive tasks and accelerate data insights
Partner with Sales, Marketing, and Finance teams to translate analytical outputs into clear business recommendations
Lead monthly forecasting reviews and present findings to senior stakeholders
Design and maintain interactive dashboards providing executive leadership with real-time visibility into sales performance and forecast accuracy
Partner with business and engineering teams to understand data requirements
Translate complex technical findings into clear, data-driven recommendations and present insights to stakeholders to support business strategy

Requirements

What you’ll need

Bachelor’s or Master’s degree in Data Science, Statistics, Economics
2+ years of experience in data analytics, forecasting, or a strategic planning role
Automotive experience is a significant plus
Hands-on project or professional experience in time-series forecasting using Classical techniques such as ARIMA, Prophet, and Regression, and ML techniques such as Advanced Regression, Random Forest, and Gradient Boosting
Understanding of hypothesis testing, stationarity, time-series decomposition, parameter tuning, and related concepts
Experience developing supervised and unsupervised machine learning models for predictive analytics
Proficiency in Python with Pandas, NumPy, Matplotlib, and Scikit-learn, or R
SQL skills for data extraction and analysis are highly preferred
Hands-on experience with Power BI, Tableau, and MS Excel is optional
Demonstrated ability to use AI productivity tools such as LLMs and GitHub Copilot
Ability to rapidly learn new technical tools and adapt to changing automotive market dynamics
Strong communication and presentation skills
Keen interest in the automotive industry and ability to link data patterns to real-world business outcomes