Data Scientist I
Fluor Corporation
Hoofddorp, , Netherlands
9 dagen geleden

Fluor Amsterdam is part of Fluor Corporation, a leading engineering consultant with more than 60.000 employees worldwide.

Fluor supports various industries, ranging from Energy & Chemicals to Power, Infrastructure, Life Sciences, Power and more.

Additionally, Fluor is partial owner of several construction yards across the globe. And we have recently acquired Stork, thereby greatly expanding our asset management capabilities.

We offer strategic support to our clients across the globe 24 / 7, in all phases of the project life-cycle. Fluor Amsterdam in Hoofddorp is a leading engineering consultant specialized in managing large and complex petrochemical and life sciences projects predominantly in Europe, the Middle East and Africa.

Our office culture is very diverse : we have over 30 different nationalities in a workforce of about 700 employees. Responsibilities of the data scientist include data processing, performing descriptive analyses and performing predictive modeling.

These performed analyses will be used for data exploration as well as for independent analyses. This position has a deep understanding of processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured.

assigned Use systems to improve and / or develop algorithms for structured and unstructured data processing

  • Use statistical analysis to understand and work around possible limitations in models
  • Predict future outcomes through predictive modeling
  • Develop hypothesis and test them
  • Develop or program databases and query them and perform statistical analysis
  • Use Business strategy skills to build the algorithms that ask the right questions and find the right answers
  • Use understanding of the business and strategy to create examples, prototypes, demonstrations
  • Use understanding of design and architecture principles
  • Integrate multiple systems and data sets
  • Produce and articulate conceptual modeling for structured and unstructured data
  • Work autonomously and in a team environment
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