Data Scientist (Cienega de Flores Facility)

Caterpillar; Ciénega de Flores; Presencial; MXN 915,000 - 1,283,000; Jornada completa

Descripción de la vacante

A global machinery manufacturer seeks an experienced Data Scientist in Ciénega de Flores, Nuevo León. You will perform advanced analytics on large datasets, applying machine learning and automation to support data-driven decisions. The role requires a Bachelor's degree in a related field and proficiency in Python, R, and SQL. Strong communication skills in English are essential. This is a five-day in-office position.

Formación

• Fluent English level required.
• Strong understanding of machine learning principles.
• Experience with database query tools.

Responsabilidades

• Lead data collection, mining, and processing efforts.
• Apply NLP and machine learning techniques.
• Define scope and requirements of data analysis projects.

Conocimientos

Business Statistics

Accuracy & Attention to Detail

Analytical Thinking

Machine Learning

Programming Languages

Query & Database Access Tools

Requirements Analysis

Educación

Bachelor’s degree in software engineering, Data Science, or related field

Herramientas

Python

R

SQL

Microsoft Power BI

Pandas

NumPy

Scikit-learn

Tableau

Descripción del empleo

Overview

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.

Job Summary

The Data Scientist is responsible for performing advanced analytical tasks on large-scale datasets to support data-driven decision-making and strategic business development. This role combines statistical analysis, machine learning, process automation and data engineering to uncover actionable insights and drive innovation.

Responsibilities

• Lead data collection, mining, and processing efforts across high-volume datasets; design and implement robust data models.
• Explore and apply semantic data techniques using Natural Language Processing (NLP), text analytics, and machine learning.
• Develop automations using different digital solutions to reduce time loss with manual process enhancing data communication.
• Define the scope and requirements of data analysis projects; communicate insights to stakeholders through compelling data visualizations.
• Conduct research to optimize data models and algorithms, enhancing the accuracy and efficiency of analytical outcomes.

Education Requirement

• Bachelor’s degree in software engineering, Data Science, Data Analyst, or related to the field.
• Fluent English Level.

Skill Descriptors

Business Statistics:

• Applies basic statistical methods to interpret business performance.
• Understands sample size, distributions, and standard deviation.
• Identifies and explains common statistical errors and misinterpretations.

Accuracy & Attention to Detail:

• Uses tools and checklists to ensure precision in data outputs.
• Learns from errors and applies corrective measures.
• Processes detailed information with a high level of accuracy.

Analytical Thinking:

• Defines problems and evaluates their significance.
• Compares alternative solutions using structured analysis.
• Uses visual tools (e.g., flowcharts, Pareto diagrams) to identify patterns and trends.

Machine Learning:

• Understands the principles and objectives of machine learning.
• Differentiates between machine learning and deep learning.
• Explains common algorithms and their applications.

Programming Languages:

• Understands foundational programming concepts and structures.
• Recognizes the capabilities of major programming languages.
• Uses documentation and specifications to maintain coding standards.

Query & Database Access Tools:

• Writes and tests queries to retrieve and manipulate data.
• Uses query tools to connect with data warehouses.
• Applies advanced functions for sorting, filtering, and calculations.

Requirements Analysis:

• Gathers and documents functional and non-functional requirements.
• Communicates effectively with stakeholders to define project needs.
• Applies organizational tools and techniques to support requirement analysis.

Top Candidates also have

• Certification in Programming Languages such as Python, R, SQL
• Experience with Microsoft Platforms (Power BI, Power Apps, Power Automate)
• Data Manipulation & Analysis: Pandas, NumPy, Scikit-learn
• Certification in Microsoft Office, Matplotlib, Seaborn, Tableau, Power BI

Additional Information

• Location: Cienega de Flores, Nuevo León.
• This position is five-day a week in-office model.
• Sponsorship for foreign candidates is not available.
• Relocation assistance is not available for this position.
• Do not forget to include a resumé in English in your profile in Workday.

Final details

Please frequently check the email associated with your application, including the junk/spam folder, as this is the primary correspondence method. If you wish to know the status of your application – please use the candidate log-in on our career website as it will reflect any updates to your status.

The Caterpillar Code of Conduct states that we will select, and place employees based on their qualifications for the job to be performed, without regard to race, religion, national origin, color, gender, gender identity, sexual orientation, age or disability. In this company we do not request pregnancy tests, nor HIV tests as requirements for employment entry, permanence or promotion.

Posting Dates

septiembre 17, 2025 - septiembre 26, 2025

Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply

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