Sr Data Scientist at Caterpillar Inc.

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Digital, DataIndustries

Requirements

Overall 8-10 years’ experience with a minimum of 5 years’ experience in Data Analytics
Expertise in Data Analysis, Data Visualization, Statistical Modelling, Machine Learning and Deep Learning, Agentic Framework
Proficiency in Python and SQL
Working experience in LLMs and Agentic Framework
Sound knowledge in Business Intelligence, Big Data & Cloud database concepts like AWS/Azure Databricks
Strong focus on continuous learning; Certifications in related tools & technologies will be added advantage
Relevant Master’s or Bachelor’s degree
Excellent communication (written and oral) and interpersonal skills
Flexible to work in rotational shifts including night shifts
Client/Business partner facing skills, ability to run workshops and articulate business needs
5+ years of production experience working in Data Science, Machine Learning within supply chain or other high data volume domains
Experience / knowledge with large language models (LLMs) and AI agents (e.g., LangChain)
Proficiency in developing applications with at least one compiled language – Streamlit
Solid production experience using Python (including Various Libraries), PySpark and SQL and expert level production experience with Apache Spark, MLLib
Experience using Azure/AWS to build end to end distributed technical solutions and general cloud native applications
Strong fundamentals in problem solving, algorithm design and complexity analysis
Hands-on experience with web APIs
Experience with data wrangling, feature engineering, and model evaluation techniques
Familiarity with DSML platform (Dataiku / Databricks), version control systems (Git) and cloud platforms (Azure)
Knowledge of NLP techniques such as text classification, summarization, and embeddings
Exposure to MLOps practices and tools (e.g., MLflow, Docker, Kubernetes)
Experience with data visualization tools (e.g., Plotly, Dash, powerBI)
Experience with cloud-native architecture and container orchestration (particularly Docker and Kubernetes) preferred

Responsibilities

Analyze the data to discover patterns & trends
Perform Descriptive, Predictive & Prescriptive Data analytics
Collaborate with Data Engineers, Functional and Business Teams
Monitor and Support Production Models; Communicate to business partner issue impact and resolution; Handle business partner inquiries, coordinating the resolution with the various support groups

Skills

Key technologies and capabilities for this role

Data AnalyticsDescriptive AnalyticsPredictive AnalyticsPrescriptive AnalyticsData AnalysisData PatternsData TrendsData Engineering CollaborationProduction Model MonitoringBusiness Communication

Questions & Answers

Common questions about this position

What experience level is required for this Senior Data Scientist role?

The role requires overall 8-10 years of experience with a minimum of 5 years in Data Analytics, plus 5+ years of production experience in Data Science and Machine Learning within supply chain or high data volume domains.

What key technical skills are needed for this position?

Expertise is required in Data Analysis, Data Visualization, Statistical Modelling, Machine Learning, Deep Learning, Agentic Framework, Python, SQL, LLMs, AI agents like LangChain, Business Intelligence, Big Data, and Cloud databases like AWS/Azure Databricks.

Is this role remote or does it require office presence?

This information is not specified in the job description.

What is the compensation or salary for this position?

This information is not specified in the job description.

What work schedule flexibility is expected?

Candidates should be flexible to work in rotational shifts including night shifts.

Caterpillar Inc.

Manufactures heavy machinery for various industries

About Caterpillar Inc.

Caterpillar Inc. designs and manufactures heavy machinery and equipment for industries such as construction, mining, energy, and rail. Their products include a wide range of machinery and engines that help clients complete large-scale projects. Caterpillar's equipment works by providing powerful tools that can perform tasks like digging, lifting, and transporting materials. What sets Caterpillar apart from its competitors is its strong aftermarket support, which includes maintenance and repair services, ensuring that their machinery remains efficient and reliable over time. The company's goal is to deliver high-quality products while also focusing on sustainability and community development through initiatives that improve education and reduce poverty.

Irving, TexasHeadquarters

1925Year Founded

$143.5KTotal Funding

IPOCompany Stage

Industrial & Manufacturing, Social Impact, AI & Machine LearningIndustries

10,001+Employees

Benefits

Annual incentive bonus plan

Medical, dental, and vision coverage

Paid time off plan (Vacation, Holiday, Volunteer, Etc.)

401k savings plan

Health savings account (HSA)

Flexible spending accounts (FSAs)

Disability benefits

Life Insurance

Parental leave

Healthy Lifestyle Programs

Employee Assistance Programs

Voluntary Benefits and Employee Discounts

Tuition Reimbursement

Career Development

Risks

Closure of Aurora office may impact regional economy and Caterpillar's reputation.

Partnership with Anti Social Social Club could dilute Caterpillar's industrial brand focus.

Advanced technology in Cat D8 dozer may face resistance from traditional customers.

Differentiation

Caterpillar's century-long history underscores its reliability and industry leadership.

The company integrates AI and IoT to enhance machinery performance and customer satisfaction.

Caterpillar's strong aftermarket services ensure product longevity and operational efficiency.

Upsides

Growing demand for autonomous equipment boosts Caterpillar's innovation in heavy machinery.

Expansion of 5G networks enhances Caterpillar's remote operation capabilities, improving safety.

Caterpillar's commitment to sustainability aligns with the global shift towards eco-friendly practices.

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