🏢 Company Overview:
Caterpillar is a global leader in manufacturing, engineering, and innovation, driving progress and sustainability across industries. With a legacy of excellence, Caterpillar leverages advanced analytics, AI, and data-driven insights to optimize performance and empower business decisions. The company values innovation, integrity, and collaboration to create impactful solutions for a better tomorrow.
💼 Job Details:
- Employment type: Full Time
- Experience: 1+ Years
- Salary: ₹12,000 – ₹20,000 monthly
- Location: Work For Home
- Work timing: 9:45 AM to 6:45 PM
- Working Days: 5 Days
- Education: Any Degree
📝 Job Description:
Caterpillar is seeking a highly skilled and experienced Senior Data Scientist to join its analytics and digital technology team. The ideal candidate will play a key role in developing advanced predictive models, machine learning solutions, and statistical tools that drive business outcomes and enhance operational efficiency. This role involves close collaboration with engineering, product, and IT teams to deliver actionable insights from complex datasets.
🔑 Key Responsibilities:
- Design and implement advanced machine learning and AI models to solve complex business problems
- Collect, clean, and preprocess structured and unstructured data from multiple sources
- Analyze large-scale datasets to identify trends, patterns, and insights for decision-making
- Collaborate with cross-functional teams to integrate predictive analytics into operational systems
- Evaluate model performance and continuously improve algorithms for scalability and accuracy
- Present data-driven insights and recommendations to leadership in a clear and actionable manner
- Stay updated on emerging data science technologies, frameworks, and best practices
🛠️ Required Skills & Qualifications:
- Proven experience as a Data Scientist (5+ years preferred)
- Expertise in Python, R, SQL, and data visualization tools such as Tableau or Power BI
- Strong understanding of machine learning algorithms, statistical modeling, and predictive analytics
- Experience with big data tools like Hadoop, Spark, or Databricks
- Familiarity with cloud platforms (AWS, Azure, or GCP)
- Excellent problem-solving, communication, and teamwork skills
- Master’s or Ph.D. degree in Data Science, Computer Science, Statistics, Engineering, or a related field
🌟 Benefits:
- Opportunity to work with cutting-edge technologies in a global organization
- Collaborative and innovation-driven environment
- Professional development and leadership growth programs
- Health, wellness, and retirement benefits
- Work-life balance and flexible work options
