Data Scientist

Caterpillar · Industrial · Kosice, Slovakia

Data Scientist role focused on performing analytical tasks and initiatives on large datasets to support data-driven business decisions and product development. The role involves data gathering, processing, exploring semantic data capabilities using NLP and ML, defining data analysis requirements, presenting insights, and researching data model optimization and algorithms. It emphasizes a data-driven product development culture and enhancing customer engagements.

What you'd actually do

  1. Directing the data gathering, data mining, and data processing in large volume; creating appropriate data models.
  2. Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques.
  3. Leading to define requirements and scope of data analyses; presenting and reporting possible business insights to management using data visualization technologies.
  4. Evaluating and conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses.

Skills

Required

  • Python (NumPy, SciPy, Pandas, etc.)
  • Machine Learning techniques (Clustering, Logistic Regression, Random Forests, SVM, Neural Networks)
  • AWS services
  • Cloud ELT/ETL
  • Snowflake
  • SQL
  • data governance
  • metadata management
  • data quality
  • data modeling
  • data architecture
  • quantitative analysis
  • data management
  • Big Data
  • Cloud (AWS, Data Lakes)
  • Analytical Thinking
  • Query and Database Access Tools

Other signals

  • data gathering
  • data mining
  • data processing
  • data models
  • semantic data capabilities
  • Natural Language Processing
  • text analysis
  • machine learning techniques
  • data analyses
  • data visualization
  • data model optimization
  • algorithms