Career Area:
Technology, Digital and Data
Job Description:
**Your Work Shapes the World at Caterpillar Inc. **
When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Role Summary:
Leads the design and delivery of advanced analytics, machine learning, and data quality solutions on large-scale enterprise datasets to enable data-driven decision-making, operational efficiency, and trusted customer/asset insights across the business. Plays a critical role in translating ambiguous business problems into scalable, production-ready data and ML solutions.
What You Will Do:
Lead end-to-end analytics and ML solutions
- Own problem framing, data exploration, feature engineering, model development, validation, and deployment.
- Deliver scalable solutions in Snowflake / cloud environments aligned with enterprise standards.
Drive data quality and customer/entity resolution initiatives
- Design and implement approaches for customer de-duplication, entity resolution, and master data improvement.
- Partner with upstream/downstream teams to improve data accuracy, consistency, and usability.
Develop and operationalize machine learning capabilities
- Apply NLP, entity matching, and advanced analytics techniques to improve business processes.
- Move models from experimentation to production-grade pipelines with monitoring and performance tracking.
Translate analytics into business impact
- Collaborate with product owners, stakeholders, and leadership to define use cases and success metrics.
- Present insights in a clear, outcome-focused manner to drive adoption and decision-making.
Mentor and elevate team capabilities
- Provide technical guidance to junior team members within Sulguni.
- Promote best practices in coding, data modeling, and experimentation.
Continuously improving tools, methods, and scalability
- Research and implement improvements in algorithms, data models, and processing approaches.
- Optimize performance, cost, and reliability of data and ML pipelines.
**What You Will Have: **
Business & Applied Statistics – Working to Advanced Knowledge
- Applies statistical methods to real-world business problems (e.g., entity resolution confidence scoring, model evaluation).
- Interprets results and translates findings into actionable recommendations.
- Identifies data biases, sampling issues, and potential misinterpretations.
Accuracy & Data Quality – Extensive Experience
- Champions high-quality, production-grade data solutions.
- Designs validation frameworks, automated checks, and monitoring for pipelines.
- Balances speed and accuracy in fast-moving delivery environments.
- Drives improvements in enterprise data quality standards and practices.
Analytical Thinking – Advanced Knowledge
- Breaks down ambiguous, complex problems into structured analytical approaches.
- Identifies root causes in data inconsistencies, customer duplication, and system gaps.
- Evaluates multiple solution paths, balancing business impact, scalability, and effort.
- Synthesizes insights into clear recommendations for leadership.
**Top Candidate Will Have: **
Machine Learning & AI – Advanced Knowledge
- Develops and deploys machine learning models (e.g., clustering, classification, entity resolution, NLP).
- Applies Python-based ML ecosystems (e.g., pandas, scikit-learn, NLP libraries).
- Designs experiments, evaluates model performance, and iterates based on results.
- Understands tradeoffs between model complexity, interpretability, and scalability.
Programming & Software Practices – Advanced Working Knowledge
- Writes clean, efficient, and production-ready code (primarily Python, SQL).
- Implement version control, testing, and modular design principles.
- Contributes to shared codebases and reusable components.
Query & Data Engineering (SQL / Snowflake) – Extensive Experience
- Designs and optimizes complex queries across large-scale, distributed datasets.
- Builds performant data pipelines, transformations, and aggregation layers.
- Applies advanced SQL (window functions, CTEs, multi-source joins).
- Optimizes cost and performance in cloud data platforms (Snowflake).
Requirements & Stakeholder Engagement – Advanced Working Knowledge
- Partners with business stakeholders to define clear problem statements and success criteria.
- Translates business needs into analytical approaches and technical requirements.
- Communicates progress, risks, and tradeoffs effectively.
Additional Information
- The location for this position is Chicago, IL or Peoria, IL.
- Domestic relocation assistance is not available for this position.
- Visa sponsorship is not available for this position
Summary Pay Range:
$112,710.00 - $183,140.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Benefits:
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.
- Medical, dental, and vision benefits*
- Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
- 401(k) savings plans*
- Health Savings Account (HSA)*
- Flexible Spending Accounts (FSAs)*
- Health Lifestyle Programs*
- Employee Assistance Program*
- Voluntary Benefits and Employee Discounts*
- Career Development*
- Incentive bonus*
- Disability benefits
- Life Insurance
- Parental leave
- Adoption benefits
- Tuition Reimbursement
- These benefits also apply to part-time employees
This position requires working onsite five days a week.
Visa Sponsorship is not available for this position.
Posting Dates:
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
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