Data Scientist

Ford Motor Company; Chennai District; On-site; INR 800,000 - 1,400,000; Full time

Job summary

Ford Motor Company is seeking a highly motivated Data Scientist with expertise in machine learning, advanced analytics, and Generative AI to translate business challenges into data-driven solutions. You will collaborate with business stakeholders to develop scalable analytical products that deliver measurable impact.

The role requires hands-on technical delivery, strong communication, and the ability to stay updated on evolving AI technologies.

Qualifications

• Bachelor's degree in a quantitative field.
• 4+ years applying ML techniques including regression, classification, clustering, trees, ensembles.
• 4+ years Python for data analysis and visualization (Pandas/NumPy/Matplotlib/Seaborn).
• 4+ years SQL and relational databases.
• 2+ years Generative AI applications using prompt engineering, RAG, embeddings.
• Experience developing AI agents or agentic workflows with ADK/LangGraph/LangChain.
• Familiarity with vector databases and semantic retrieval platforms.

Responsibilities

• Partner with stakeholders to understand challenges and translate requirements into data science solutions.
• Analyze structured and unstructured data to identify trends and insights.
• Design, validate, and deploy ML models to support decision making.
• Develop Generative AI solutions using prompt engineering, RAG, embeddings, and LLMs.
• Build autonomous agent systems using AI orchestration frameworks.
• Design scalable data prep, feature engineering, and data augmentation pipelines.
• Support end-to-end model lifecycle: scoping, experimentation, training, evaluation, deployment, monitoring.
• Ensure data quality, governance, and responsible AI practices throughout analytics lifecycles.
• Stay updated on ML/AI developments and apply innovations to business challenges.
• Communicate findings and recommendations effectively to technical and non-technical audiences.

Skills

analytical thinking

communication

stakeholder management

problem solving

Education

Bachelor's degree in Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering, or a related quantitative discipline

Master's degree (preferred)

PhD (preferred)

Tools

Python

SQL

Pandas

NumPy

Matplotlib

Seaborn

FAISS

Pinecone

Vertex AI Vector Search

Job description

We are seeking a highly motivated Data Scientist with expertise in machine learning, advanced analytics, and Generative AI technologies. The successful candidate will work with business stakeholders to translate complex business challenges into data-driven solutions and develop scalable analytical products that create measurable business impact.

This role requires strong analytical thinking, hands-on technical expertise, and the ability to stay current with evolving data science and AI technologies. The position is an individual contributor role with significant collaboration across business and technical teams.

Key Roles And Responsibilities Of Position

• Partner with business stakeholders to understand challenges, define analytical approaches, and translate business requirements into data science solutions.
• Analyze structured and unstructured datasets to identify trends, patterns, and actionable insights.
• Design, build, validate, and deploy machine learning and statistical models to support business decision-making.
• Develop Generative AI solutions leveraging prompt engineering, Retrieval‑Augmented Generation (RAG), embeddings, and large language models.
• Build and deploy autonomous and multi‑agent systems using frameworks such as Google Agent Development Kit (ADK), LangGraph, LangChain, or similar orchestration platforms.
• Design scalable data preparation, feature engineering, and data augmentation pipelines to improve model performance and robustness.
• Support end‑to‑end model lifecycle activities, including problem scoping, experimentation, model training, evaluation, deployment, monitoring, and optimisation.
• Ensure data quality, integrity, governance, and responsible AI practices throughout the analytics lifecycle.
• Stay informed about emerging developments in machine learning, data science, Generative AI, and analytics methodologies, and apply relevant innovations to business challenges.
• Communicate analytical findings and recommendations effectively to technical and non-technical audiences.

Minimum Qualifications

• Bachelor's degree in Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering, or a related quantitative discipline.
• 4+ years of hands‑on experience applying machine learning techniques including regression, classification, clustering, decision trees, random forests, and support vector machines.
• 4+ years of experience using Python for data analysis, machine learning, and visualisation, including libraries such as Pandas, NumPy, Matplotlib, and Seaborn.
• 4+ years of experience in SQL and relational database systems.
• 2+ years of experience developing Generative AI applications using prompt engineering, RAG architectures, embeddings, or model fine‑tuning techniques.
• Experience developing AI agents or agentic workflows using Google ADK, LangGraph, LangChain, or similar frameworks.
• Familiarity with vector databases and semantic retrieval platforms such as FAISS, Pinecone, Vertex AI Vector Search, or similar technologies.

Preferred Qualifications

• Master's degree or PhD in Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering, or a related quantitative field.
• Experience developing and deploying machine learning solutions on Google Cloud Platform (GCP).
• Strong understanding of probability, statistical inference, linear algebra, numerical methods, optimisation, and neural network fundamentals.
• Excellent problem-solving, communication, stakeholder management, and presentation skills.