Data Scientist (santa Catarina Facility)

Caterpillar Caterpillar · Industrial · Santa Catarina, Nuevo León

This role focuses on performing advanced analytical tasks using statistical analysis, machine learning, and data engineering to extract actionable insights from large datasets. The Data Scientist will lead data collection, mining, and processing, apply NLP and text analytics, communicate findings through visualizations, and optimize data models and algorithms for improved accuracy and efficiency. The role emphasizes data-driven decision-making and innovation within an enterprise context.

What you'd actually do

  1. Lead data collection, mining, and processing efforts across high-volume datasets; design and implement robust data models.
  2. Explore and apply semantic data techniques using Natural Language Processing (NLP), text analytics, and machine learning.
  3. Define the scope and requirements of data analysis projects; communicate insights to stakeholders through compelling data visualizations.
  4. Conduct research to optimize data models and algorithms, enhancing the accuracy and efficiency of analytical outcomes.

Skills

Required

  • Bachelor’s degree in software engineering, Data Analysis or related to the field
  • Advanced English
  • Apply basic statistical methods to interpret business performance.
  • Understands sample size, distributions, and standard deviation.
  • Identifies and explains common statistical errors and misinterpretations.
  • 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.
  • Understands foundational programming concepts and structures.
  • Recognizes the capabilities of major programming languages.
  • Use documentation and specifications to maintain coding standards.
  • Writes and tests queries to retrieve and manipulate data.
  • Uses query tools to connect with data warehouses.
  • Apply advanced functions for sorting, filtering, and calculations.
  • Gathers and documents have functional and non-functional requirements.
  • Communicates effectively with stakeholders to define project needs.
  • Apply organizational tools and techniques to support requirement analysis.

Nice to have

  • Certification in Programming Languages such as Python, R, SQL
  • Data Manipulation & Analysis as SAP
  • Certification in Microsoft Office, Power Platform

What the JD emphasized

  • advanced analytical tasks
  • large-scale datasets
  • data-driven decision-making
  • statistical analysis
  • machine learning
  • data engineering
  • actionable insights
  • innovation
  • semantic data techniques
  • Natural Language Processing (NLP)
  • text analytics
  • machine learning
  • data visualizations
  • optimize data models and algorithms
  • accuracy and efficiency

Other signals

  • advanced analytical tasks
  • data-driven decision-making
  • statistical analysis
  • machine learning
  • data engineering
  • actionable insights
  • innovation
  • semantic data techniques
  • Natural Language Processing (NLP)
  • text analytics
  • machine learning
  • data visualizations
  • optimize data models and algorithms
  • accuracy and efficiency