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Data Scientist II, Aftermarket Analytics
2 months ago
Career Area:
Business Technologies, 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:
As an Aftermarket Data Scientist in the global aftermarket analytics team of Cat Digital, you will be tasked with enabling services growth by collaborating with other teams such as aftermarket leads and insights, business segments, and Cat Digital Analytics to maximize the value extraction of our digital products and services.
What You Will Do:
- Exploring, promoting, and implementing statistical methods and/or digital methods to solve business problems.
- Working with and using Caterpillar's Aftermarket data to understand and develop analytical solutions for business problems.
- Focus on team success by collaborating with their team on technical solutions demonstrating good teamwork and communication.
- Participate on 1-2 projects concurrently.
- Have a strong focus on continual learning in the Analytics field.
- Have good communication skills, being able to explain conclusions to customers with limited knowledge and experience with quantitative analytical methods.
- Demonstrate good knowledge of Caterpillar Inc.; its products and services; its internal systems, processes, and procedures; and its relevant external influences (competitors, laws and regulations, market conditions, etc.) to meet or exceed customer expectations.
What You Will Have:
- Analytical Thinking: Extensive 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: Working knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
- Business Statistics: Extensive 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.
- Programming Languages: Working knowledge of basic concepts and capabilities applying Python (NumPy, SciPy, Pandas, etc) programming; ability to use tools, techniques and platforms in order to write and modify programming languages.
Considerations for Top Candidates:
- Typically a Bachelors or Master's degree preferably in statistics, economics, mathematics, or a similar field with quantitative coursework.
- Typically, 2-3+ years of professional experience utilizing quantitative analysis, or a Master's degree and 1-2+ years of experience.
- Experience with data analysis and statistical methods such as regression, hypothesis testing, ANOVA, statistical process control, etc.
- Practical applications of machine learning techniques such as Clustering, Logistic Regression, CART, Random Forests, SVM or Neural Networks.
- Experience in design / development of heavy equipment (ex. automotive, aerospace, engine, transmission, construction, mining, industrial, etc)
- Technical and problem-solving skills and evidence of continuous learning in the analytics field
- Breadth and depth of knowledge in the application of statistical and/or digital methods to solve business problems
- Experience with projects connecting data from various business domains and providing forecasts and insights to run the business profitably
- Typically, 1+ years of experience applying python (NumPy, SciPy, pandas, etc) programming to solve business challenges
- Experience with cloud technologies (AWS, Azure, Google Cloud, etc)
- Initiative to research and apply new methods and digital technologies to exceed customer expectations.
- Good communication, interpersonal, and collaboration skills
What You Will Get:
Working with a Fortune 100 leader, you can build your career on a global scale and take advantage of development opportunities with emerging technologies. We've created an inclusive environment for you to explore your passions, make an impact and do the work that really matters. Join Us.
Additional Information:
This position has the option to be based out of either our Chicago, IL or Peoria, IL offices with a flexible hybrid work environment.
#LI-Hybrid
#BI (used to post on Built In Chicago)
About Caterpillar
Caterpillar Inc. is the world's leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, we've been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed.
Visa Sponsorship is not available for this position. This employer is not currently hiring foreign national applicants that require or will require sponsorship tied to a specific employer, such as, H, L, TN, F, J, E, O. As a global company, Caterpillar offers many job opportunities outside of the U.S which can be found through our employment website at
Posting Dates:
July 1, July 14, 2024
Any offer of employment is conditioned upon the successful completion of a drug screen.
EEO/AA Employer. All qualified individuals - Including minorities, females, veterans and individuals with disabilities - are encouraged to apply.
Not ready to apply? Join our Talent Community .