Job Detail: Data Science Engineer | Sintra, Portugal

Data Science Engineer | Sintra, Portugal

Data Scientist
  • Full-time
  • Junior | Intermediate | Senior
  • Sintra, Portugal
  • English
  • 2022-02-02

Cross Border Talents is searching for a Data Scientist Engineer experienced in ROS, for their client's R&D division. Our client is an expert in operating systems and software building designed to accelerate the development, deployment and support of any robot.


As a Data Scientist Engineer:

  • Support the research, implementation and evaluation of machine learning & deep learning algorithms based on the latest advances in the field.
  • Teach Robots to perceive the unstructured environment around them for autonomous navigation and interaction.
  • Suggest new ML approaches to solve existing and new problems.
  • Support and collaborate with multidisciplinary teams to build the best Robotic Operating System from around the world.


  • 2+ years experience deploying AGVs/AMRs in end-customer’s facilities;
  • Mandatory English skills (written and spoken) mother tongue level;
  • BSc/MSc in electronics, electrical or mechanical engineering (or equivalent);
  • Experience automation with Python and/or bash;
  • Experience with Ubuntu/Linux (optional);
  • Experience with ROS (optional).

Personal Skills:

  • A degree in Computer Science/ Electrical Engineering / Mathematics.
  • 2+ years of hands-on experience developing machine learning solutions.
  • Strong knowledge on object detection, semantic segmentation, and classification using both images and 3D point clouds.
  • Proficiency with Python and C++ programming languages.
  • Strong expertise in ML/AI and CV libraries: sklearn, pandas, scipy, Tensorflow/PyTorch, OpenCv.
  • Familiarity with version control (Git).
  • Familiarity with cloud computing tools.
  • Advantage: experience with ROS, sensor fusion, robotic perception, sensor calibration.
  • Comfortable working in Linux.
  • Used to work SCRUM/Agile methodology.
  • Strong sense of organization and responsibility.
  • Proactive, self-motivated and self-managing.
  • Fluent written and spoken English skills.


  • Position in a highly motivated multidisciplinary start-up team;
  • A competitive full-time payment negotiable based on experience.


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