start up that's developing an innovative product of wireless location.

In this role you will develop localization, tracking and other algorithms using our innovative wireless sensors and devise numerical analysis algorithms.

Implementations will be in Python.

You will work within a multi-disciplinary team, collaborating with other data scientists, mathematicians, and physicists.

Academic degree in a quantitative field (Applied Math, Computer Science, Engineering, Aeronautics, Physics, Statistics, etc.) - a must.

At least 3 years of work experience in algorithms research and development, applying models and data analysis, preferably in startup environment.

Experience in applied scientific research is highly preferable.

Previous experience in full development cycle for algorithms implementation (from research and analysis of experimental data through intensive debugging and testing to official SW product release) is big advantage.

Extensive knowledge in statistical data analysis methods and/or statistical signal processing, estimation theory, data and sensors fusion.

Experience in tracking algorithms ,Kalman-filtering and IMU (calibration ,noise reduction ,velocity and position estimation)

Knowledge and research experience in machine learning, deep learning, Big Data and data science is advantage.

Previous experience in the fields of navigation, geo-location, robotics or IoT is advantage.

Extensive experience with Python scientific stack, Jupyter notebook and Git.