Data scientist
Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.
We are more than 36, people, in over 70 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the worlds most complex challenges and deliver more impact together.
As a Data Scientist at Arcadis, you will play a pivotal role in enhancing the performance and safety of our assets, with a focus on maximizing returns and improving utilization for societal and environmental benefit. Join our Asset Management Team in Arcadis to optimize, model, and analyze assets, employing complex data analytics and machine learning techniques within an
- source environment.
Responsabilities
Optimize, model, and analyze assets to improve performance and safety.
Conduct
- depth analysis of raw data to draw meaningful conclusions.
Employ advanced statistical programming languages and
- edge machine learning algorithms for intricate data analytics.
Enhance data management through quantitative and qualitative techniques, adhering to a "minimum viable product" approach.
Develop robust data models and visualizations, ensuring the highest standards of quality control are upheld.
Requirements
Bachelor's degree or higher in Computer Science, Mathematics, Physics, Statistics, or a related field.
Expertise in using the Python programming language.
Strong foundation in software engineering: can write
- tested and maintainable code, uses version control software like git, some knowledge of build automation.
Some experience with deep learning frameworks (Tensorflow or Py
Torch).
Deep knowledge and experience in data science, with a focus on computer vision and machine learning techniques.
Familiar with cloud computing (ideally in Azure, but AWS and GCP are also fine).
Demonstrated ability to tackle complex "big data" challenges with a passion for
- solving.
Results-oriented mindset with a focus on accuracy and attention to detail.
Strong analytical skills coupled with proficiency in English communication.
Nice to have
Experience using deep learning to solve object detection and instance segmentation problems.
Prior experience with Azure Machine Learning.
Prior experience with Point Cloud/Li
DAR technologies.
Proficiency in other European languages.
Expertise in data handling using SQL.
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