Data Scientist & AI
Ford Motor Company (company site, opens in a new tab)ChennaiHybridDirect career pageEst. 18–35 LPA
Posted on 7 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end data science projects from problem definition through model deployment and evaluation, ensuring quantifiable business impact.
- Develop, validate, and deploy reproducible machine learning models using advanced techniques and established MLOps tools (e.g., MLflow, Kubeflow) with cloud optimization.
- Translate complex data insights into actionable business strategies, mentor junior team members, and maintain comprehensive technical documentation for scalability and maintainability.
Minimum Requirements
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related quantitative field.
- Proficiency in Python/R and SQL with advanced experience using data science libraries like Scikit-learn and deep learning frameworks such as TensorFlow or PyTorch.
- Hands-on experience with cloud platforms and tools for data storage, compute, and model operationalization (e.g., Google Cloud Storage, Vertex AI).
- Strong software engineering practices including Git workflows, unit testing, and model validation techniques. Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Technical leader comfortable bridging between business stakeholders and complex data science/ML environments with proven ability to drive strategic, data-driven decisions.
- Experienced in designing scalable, production-ready ML pipelines and cloud resource optimization to ensure reliability and cost efficiency.
- Capable of mentoring peers, producing clear technical documentation, and communicating complex model results effectively to both technical and non-technical audiences.