Senior Data Scientist – Caterpillar | Bangalore & Chennai, India
Job Description
Summary
Join Caterpillar Inc. as a Senior Data Scientist in Bangalore or Chennai and lead cutting-edge AI and machine learning projects that enhance IoT data quality and analytics across one million connected assets worldwide. This full-time, regular position within Caterpillar’s Digital & Analytics division offers an exciting opportunity to work with large-scale data, advanced ML/AI models, and cloud technologies like AWS and Snowflake. If you have 7+ years of data science experience, expertise in Python, SQL, and a passion for solving complex data challenges, this role will empower you to innovate and deliver impactful digital solutions at a global scale.
Job Details at a Glance
| Job Title | Senior Data Scientist |
|---|---|
| Company | Caterpillar Inc. |
| Locations | Bangalore, Karnataka / Chennai, Tamil Nadu, India |
| Employment Type | Full-Time, Regular |
| Experience Required | 7+ years in Data Science & Machine Learning |
| Education | BS/MS in Data Science, Computer Science, Engineering, Statistics or related fields |
| Key Skills | Python, SQL, ML/AI, Cloud Computing (AWS), Data Visualization (Tableau, Power BI) |
| Contract Type | Permanent |
| Application Deadline | September 14, 2025 |
| Requisition ID | R0000305994 |
Key Responsibilities
Data Science & Machine Learning Development
- Design, develop, and maintain AI and ML models targeting data quality improvement for IoT-connected assets.
- Implement advanced analytics solutions addressing root causes of data quality issues.
- Drive multiple high-impact projects concurrently, independently managing medium to high-complexity initiatives.
Collaboration & Leadership
- Mentor junior data scientists and provide technical guidance across teams.
- Collaborate closely with product owners, designers, and internal customers to translate business needs into technical solutions.
- Communicate complex analytical insights effectively to both technical and non-technical stakeholders.
Analytics & Visualization
- Utilize SQL and Python to build and optimize data pipelines and machine learning workflows.
- Develop dashboards and reports using Tableau or Microsoft Power BI for data visualization.
- Apply statistical and quantitative methods to analyze structured and unstructured data.
Cloud & Data Engineering Integration
- Leverage AWS services such as Athena, Glue, DynamoDB, EC2, EMR, RDS, S3, and SageMaker.
- Work with Snowflake data warehouse environments for scalable data storage and processing.
- Integrate analytical models seamlessly with existing data infrastructure.
Required Skills & Qualifications
- Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or related quantitative discipline.
- Minimum 7 years of professional experience in data science, including 5+ years specifically in ML/AI model design and implementation.
- Strong programming skills in Python and SQL.
- Hands-on experience with Agents, Large Language Models (LLMs), Generative AI, NLP, Deep Learning, and Retrieval-Augmented Generation.
- Proven ability to analyze complex datasets, develop classification/regression models, and apply unsupervised learning.
- Expertise in AWS cloud ecosystem and data engineering tools.
- Proficient with BI tools like Tableau and Microsoft Power BI.
- Excellent verbal and written communication skills; ability to engage cross-functional teams.
- Strong organizational skills and the ability to manage multiple projects under tight deadlines.
Preferred Qualifications
- Advanced degree (MS or higher) in a relevant quantitative field.
- Experience as a Lead Data Scientist or technical mentor.
- Familiarity with standardizing diverse and non-sanitized datasets.
- Solid understanding of data management, statistical methods, and quantitative analytics.
- Passionate about learning and adapting in a fast-paced, global, and culturally diverse environment.
Why Work at Caterpillar?
- Global Impact: Work with data from over one million connected assets worldwide.
- Innovative Culture: Be part of a technology-driven team pushing boundaries in AI, IoT, and digital transformation.
- Career Growth: Opportunities for mentorship, learning, and leadership in a supportive environment.
- Relocation Support: Available for eligible candidates.
- Inclusive Workplace: Committed to diversity, equity, and fostering collaboration.
Apply Now
Are you ready to advance your data science career with Caterpillar?
Apply today and join our innovative digital team!
👉 Apply here on Caterpillar’s official careers page
Not ready to apply yet? Join the Caterpillar Talent Community for future opportunities.