Data Scientist

Posted 8 Hours Ago
Chicago, IL, USA
Hybrid
98K-158K Annually
Mid level
Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial
Cat Digital uses digital technologies to help Caterpillar Inc. customers build a better, more sustainable world.
The Role
Analyze large CAT datasets to identify and resolve data quality gaps, build data models, apply ML and NLP techniques, create visualizations to communicate insights, and research algorithm and model optimizations to improve analysis accuracy and effectiveness.
Summary Generated by Built In
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.
Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics, and AI capabilities to help our customers build a better, more sustainable world.
Job Summary
Data Scientist with deep knowledge of CAT datasets, driving identification and resolution of data quality gaps through advanced analytics. Translates complex data into clear visual insights to highlight trends and support informed, data-driven decision-making.
What You Will Do:
  • Directing the data gathering, data mining, and data processing processes in huge volume; creating appropriate data models.
  • Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques.
  • Leading to define requirements and scope of data analyses; presenting and reporting possible business insights to management using data visualization technologies.
  • Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses.

What you will have:
  • Business Statistics: Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.
  • Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
  • Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
  • Programming Languages: Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages.
  • Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project.

Consideration for top candidates:
  • Expertise in Python & SQL (advanced querying, data manipulation)
  • Strong experience in data visualization & storytelling (Power BI/Tableau)
  • Hands-on experience with cloud platforms (AWS/Azure/GCP) and modern data warehouses (Snowflake/BigQuery)
  • Solid understanding of data engineering fundamentals (ETL, data modeling, pipelines)
  • Strong foundation in machine learning and statistics
  • Experience in data wrangling and feature engineering
  • Strong business acumen and problem-solving skills
  • Excellent communication and stakeholder management skills

Additional Details:
  • This position requires the candidate to be in Chicago, IL, Peoria, IL, Denver, CO or Dallas, TX
  • Relocation assistance is NOT available for this position
  • Visa sponsorship is NOT available with this position

Summary Pay Range:
$97,530.00 - $158,480.00
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
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.
Not ready to apply? Join our Talent Community.

Skills Required

  • Business Statistics knowledge
  • Analytical thinking and root-cause analysis
  • Machine learning principles and algorithms
  • Programming language concepts and ability to write/modify code
  • Requirements analysis (eliciting and recording business functionality)
  • Expertise in Python and SQL (advanced querying, data manipulation)
  • Data visualization and storytelling (Power BI, Tableau)
  • Cloud platforms and modern data warehouses (AWS, Azure, GCP, Snowflake, BigQuery)
  • Data engineering fundamentals (ETL, data modeling, pipelines)
  • Data wrangling and feature engineering
  • Strong business acumen and problem-solving skills
  • Excellent communication and stakeholder management skills

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The Company
HQ: Irving, TX
100,000 Employees
Year Founded: 1925

What We Do

Cat Digital is the digital and technology arm of Caterpillar Inc., responsible for bringing digital capabilities to our world-famous yellow iron. With over 1.5M connected assets worldwide, our teams use data, technology, advanced analytics and AI capabilities to help our customers build a better world.

Why Work With Us

The Cat Digital team is at the forefront of Caterpillar’s evolution. We take pride in solving complex problems by building new systems from the ground up. On our team, you’ll leverage data from across our entire enterprise to find solutions that open a new world of possibilities for our customers and dealers. Join us in building a better tomorrow.

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