Data Scientist

Utilis is a young, dynamic and successful startup company specializing in SAR infrastructure analytics. Utilis has developed a unique technological solution for detecting potable water leaks in urban distribution systems using satellites. Utilis R&D department seeks for a highly motivated, responsible, curious individual who is willing to solve complex problem for the Data Scientist position.  The selected applicant will be a part of Utilis innovation team leading the company data flows and analysis.

Responsibilities:

  • Manage the company’s data flow.
  • Perform ongoing data analytics and statistical studies.
  • Develop complex computer vision algorithms to be applied on satellite imagery and geospatial datasets.
  • Responsible for R&D machine learning algorithm development.
  • DB design, management & maintenance.

Qualifications:

Minimum qualifications

  • Bachelor’s degree in a scientific relevant field is required (Computer Science, Engineering, Bioinformatics, Geoinformation or Geo sciences); MS/PhD is preferred.
  • Strong background in statistics and statistical programming skills.
  • Background in machine learning and computer vision, including familiarity with deep learning frameworks (e.g. Tensorflow, PyTorch, Keras).
  • Experience in SQL DB design, management and maintenance (POSTGRESSQL),
  • High English proficiency (writing, speaking & reading)
  • Strong communication skills & a tech friendly approach
  • Programming: Python (high proficiency).

Preferred qualifications

  • Programming: R, Java, MATLAB.
  • Experience with computer vision and image processing.
  • Experience with geospatial & numerical python packages (e.g. Numpy, GDAL, Geopandas, Rasterio).
  • Experience with remote sensing, geospatial analytics and GIS development.
  • Experience in Geospatial DB (PostGIS).
  • Experience with AWS environment.

Start date: Immediate (July-August 2019).

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