Data Scientist - Job Opportunity at Caterpillar Inc.
USD 101,546 - 155,400 per year
Benefits
Comprehensive healthcare package including medical, dental, and vision with HSA option - above industry standard
401(k) savings plan with company matching
Flexible work arrangement with 40% remote option - competitive for manufacturing sector
Progressive parental leave and adoption benefits
Extensive professional development through tuition reimbursement
Performance-based incentive bonus structure
Comprehensive wellness programs including health lifestyle initiatives
Multiple insurance coverages including life and disability
Flexible spending accounts for additional tax advantages
Generous PTO including vacation, holidays and volunteer time
Key Responsibilities
Lead complex data analysis initiatives to drive strategic business decisions in manufacturing operations
Direct end-to-end data processing and model development for large-scale industrial applications
Implement advanced NLP and machine learning solutions for semantic data analysis
Develop and optimize statistical models for production quality improvement
Create visualization solutions using Power BI for executive decision support
Lead requirements gathering and scope definition for enterprise-wide analytics projects
Conduct research on model optimization to enhance analytical accuracy
Support full BI lifecycle from design through maintenance
Develop proactive risk detection systems for quality control
Requirements
Education
Master's degree in Industrial and Systems Engineering, Computer Engineering, or related field
Experience
2.5 years as Data Analyst, Quality Analyst, or related role
Required Skills
Advertisement
Ad Space
Sauge AI Market Intelligence
Industry Trends
Salary Evaluation
The offered salary range is competitive for the midwest region and aligns with industry standards for mid-level data scientists in manufacturing. The range allows for growth based on experience and specialized skills.
Role Significance
Likely part of a 5-8 person data science team within a larger digital transformation department, typical for enterprise-level manufacturing organizations
Mid-level position with significant project ownership and technical leadership responsibilities. The role involves both hands-on technical work and strategic decision-making.
Key Projects
Success Factors
Market Demand
Very high demand, particularly for data scientists with manufacturing sector experience and quality control expertise. The combination of traditional manufacturing knowledge with modern data science skills is relatively rare.
Important Skills
Critical Skills
Beneficial Skills
Unique Aspects
Rare opportunity to apply data science in heavy manufacturing context
Significant focus on quality control and process optimization
Balance of technical work with business impact
Strong emphasis on professional development and career growth
Career Growth
Typical progression to senior role in 2-3 years, management track possible in 3-4 years with demonstrated leadership capabilities
Potential Next Roles
Company Overview
Caterpillar Inc.
Caterpillar is a global leader in construction and mining equipment manufacturing, with a strong focus on digital transformation and data-driven operations
Advertisement
Ad Space
Data Sources & Analysis Information
Job Listings Data
The job listings displayed on this platform are sourced through BrightData's comprehensive API, ensuring up-to-date and accurate job market information.
Sauge AI Market Intelligence
Our advanced AI system analyzes each job listing to provide valuable insights including:
- Industry trends and market dynamics
- Salary estimates and market demand analysis
- Role significance and career growth potential
- Critical success factors and key skills
- Unique aspects of each position
This integration of reliable job data with AI-powered analysis helps provide you with comprehensive insights for making informed career decisions.