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:
- Responsible for R&D machine learning algorithm development and execution.
- Develop complex computer vision algorithms to be applied on satellite imagery and geospatial datasets.
- Perform ongoing data analytics and statistical studies.
Requirements:
Minimum qualifications:
Master degree (or applicable experience) in a scientific relevant field is required (Computer Science, Engineering, Bioinformatics, Geoinformation or Geo sciences); PhD is preferred.
Proved experience with creating and leading machine learning processes and computer visions solutions.
Strong background in statistics and statistical programming skills.
Programming: Python (high proficiency), SQL (high proficiency).
Familiarity with deep learning frameworks (e.g. Tensorflow, PyTorch, Keras).
High English proficiency (writing, speaking & reading).
A can do mindset with strong communication skills.
Preferred qualifications:
Programming: R, Java, MATLAB.
Experience with computer vision and image processing.
Experience with geospatial & numerical python packages.
Experience with AWS environment.
Experience in Geospatial DB.