Lead Data Scientist

Ford Motor Company

Lead Data Scientist in Ford's Global Data Insights and Analytics, delivering AI/ML projects for evidence-based decision-making. Responsible for end-to-end lifecycle of machine learning solutions.

Posted 7/1/2026full-timeChennai • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Lead the technical delivery of AI/ML projects, ensuring that products are developed, validated, and successfully integrated to solve critical business problems.
Partner closely with business stakeholders to understand requirements, translate business problems into analytically tractable frameworks, and deliver actionable, data-driven insights.
Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making.
Mentor junior data scientists and guide them in solving analytics related problems
Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends
Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation
Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness

Requirements

What you’ll need

Bachelor's degree in Data Science, Computer Science, Operational Research, Statistics, Applied Mathematics, or a related engineering discipline.
Demonstrated experience of translating a business problem into an analytically tractable framework, leveraging analytics to solve the problem, generating insights from the solution, and working with the business to use the insights to deliver business value
6+ years of hands-on experience in Python programming for data analysis and machine learning / generative AI.
6+ years of hands-on experience with data modeling, data mining, machine learning algorithms or statistical analysis.
2+ years' experience in SQL programming language and relational databases.

Benefits

Comp & perks

Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data MiningPredictive ModelingPrescriptive ModelingStatistical AnalysisData AugmentationData LoadingHypothesis TestingAlgorithm DesignAdvanced AnalyticsGenerative AI

Soft Skills

MentoringCollaborationProblem Solving