Data Scientist

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.

Our common values and focus on inclusion and respect drive the decisions made by our company, teams and people. This is why we are committed to hiring and building diverse teams representative of the customers we serve globally. When you join our team, you can apply your unique life and job experiences and work in an environment where your ideas are heard, your contributions are celebrated, and your whole-self matters.

About Cat Financial

Cat Financial is a subsidiary of Caterpillar Inc., 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 more than 40 years, Cat Financial has provided a wide range of financing solutions to customers and Cat® dealers for machines, engines, Solar® gas turbines, genuine Cat parts and services. Headquartered in Nashville, Tennessee, Cat Financial serves customers globally with offices and subsidiaries located throughout North and South America, Asia, Australia, Europe

and Africa. Visit cat.com to learn more about Cat Financial.

Role Definition

• Performs analytical tasks and initiatives on huge amount of data to support data-driven business decision and development.

Job Summary:

• 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 forecasting, prediction 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 Do:

• Significant responsibilities of this position are working with people; enhancing the team’s creativity; maintaining knowledge of approaches used in similar projects; and pushing the technical bounds of experimentation while meeting customer commitments. Establishing and maintaining a sound analytic approach for solving the problem at hand. This individual will develop good networks within the technical community to enable them to collaborate on technical solutions, obtain resources and cooperation needed, and remove roadblocks so that they can ensure the success of their team.
• Demonstrate a breadth of knowledge in the application statistical methods and/or digital methods to solve business problems
• Participate on 2-3 projects concurrently
• Demonstrate strong initiative to research and apply new methods to exceed customer expectations.
• Have a strong focus on continual learning in the Analytics field
• Possess thorough statistical and/or technology knowledge and the ability to solve low to medium complexity problems.
• The Data Scientist position contributes to this mission by leveraging his or her quantitative analysis, data management, predictive modelling and/or data visualization skills as an individual contributor to project teams tasked with solving business problems. 
• Have very good communication skills, being able to explain conclusions to customers with limited knowledge and experience with quantitative analytical methods. 

What You Will Have:

• Collaboration & Leadership in Analytics: Experience working closely with cross-functional teams, providing data-driven insights and collaborating on projects to solve business challenges.
• Data Cleaning, Analysis, and Preparation: Working knowledge in conducting exploratory data analysis to extract meaningful patterns, trends, and insights from complex datasets, including data mining and cleaning initiatives and writing, debugging and implementing queries involving multiple tables or databases.
• Analytical Thinking: Ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems; Knowledge of techniques and tools that promote effective analysis;
• Programming Languages: Knowledge of basic concepts and capabilities applying SQL (Snowflake) & Python (NumPy, SciPy, Pandas, etc) programming; ability to use tools, techniques and platforms in order to write and modify programming languages.
• Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services. Experience completing specific tasks and initiatives utilizing machine learning technologies, such as classification, regression, or optimization and specific tools and techniques to process descriptive and inferential statistics.

Required Qualifications:

• Bachelor’s degree, preferably in statistics, economics, mathematics, or similar field with quantitative course work
• 2-3 years of professional experience utilizing quantitative analysis
• 2-3 years of professional experience in predictive modeling like Time Series, Regression and Classification methods
• Exhibited the ability to work on increasingly more complex assignments
• Production-level coding and development skills in Python and SQL
• Intermediate proficiency with Power BI
• Experience with Azure Dev Ops / Project Management / Github
• Experience with AWS Glue, Lambda, and SageMaker

This Job Description is intended as a general guide to the job duties for this position and is intended for the purpose of establishing the specific salary grade. It is not designed to contain or be interpreted as an exhaustive summary of all responsibilities, duties and effort required of employees assigned to this job. At the discretion of management, this description may be changed at any time to address the evolving needs of the organization. It is expressly not intended to be a comprehensive list of “essential job functions” as that term is defined by the Americans with Disabilities Act.

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 www.caterpillar.com/careers.

Posting Dates:

June 11, 2024 - June 20, 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 .