Data Scientist for sensor assessment

Company:
Location: Switzerland

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For our client, we are looking for a



Data Scientist for sensor assessment

Location: remote in any part of Switzerland

The successfully hired person will drive the assessment of sensors for environmental characterization. The main purpose of the role is to translate sensor and weather service data into insights about the right sensor and sensor setup to choose for future environmental characterization.

Accountabilities

  • Collect and integrate the different data sources into one database for data analysis
  • Harmonize/Normalize the available data
  • Define analysis outcomes with stakeholders and define test hypothesis based on the data
  • Compare sensor data coming from different sensor sources and databases (descriptive analysis)
  • Select best sensor for defined outcomes and configuration (depth, distance, number)
  • Visualize the results for presentations and decision making
  • Engagement time: 3-4 months

Knowledge, experience & capabilities

  • 3yrs + experience in the area of data analytics / data science
  • Demonstrated experience and skills in statistical data analysis, clustering/classification and multivariate analysis complemented by strong data fusion, data visualization and presentation skills
  • Demonstrated skills in Python or comparable tools for data assessment
  • Knowledge of statistics, databases and web tools
  • In-depth knowledge of data exploitation, predictive science and statistics, preferably in the context of biological or agricultural Research and Development
  • Appreciation of the value in data - experience in managing, analyzing or using complex data to make scientific or business decisions
  • Ability to analyze heterogeneous data (weather, soil data) and ensure proper documentation
  • Passion for technology and ability to interpret the data and bring results in the context of the (sensor) technology advantage or disadvantage
  • Fluent in written and oral English
  • Ability to work in an interdisciplinary team
  • Learning agility, scientific curiosity with a problem-solving mindset, an enthusiastic and collaborative spirit
  • Ability to communicate clearly at all organizational levels

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