Careers

R&D | Data Scientist Lead

IL

About the role

Smart mobility is about to revolutionize the way we live, work and commute – it’s sparked by vehicle connectivity with an eye forward to autonomous driving. In order to make it work seamlessly, it’s first got to be Secure and Safe – that’s where Upstream Security comes in. We’ve created the world’s first and only cloud-based cybersecurity solution designed specifically for Smart Mobility, and already trusted by over a million connected vehicles worldwide.

 

We are looking for an experienced and talented Data Scientist Lead to lead our Data Science research.

In this role, you will research challenging problems in the mobility and cyber domains based on real world mobility data. You will be work closely with our cyber researchers and also with the development team, developing the company’s core technology.
You will research large scale mobility-related data, work with customers, devise insights and algorithms that will be a core part of the company’s innovative security solution.

 

If you are talented, hardworking individuals with great energy, leadership, and initiative to drive awareness for our Platform- we want to hear from you!

What you will be accountable for?

  • Lead the data science discipline in the company
  • Research large scale and diverse automotive data sets
  • Build modeling and anomaly detection algorithms as part of the company's products
  • Design and implement an innovative security technology
  • Research new technologies and adopt them for use in the company’s product

Experience and Skills

  • Deep background in data science
  • Education: PhD +3 years or MS + 5 years of related experience in computer science, data science, or machine learning
  • Proficient in Python: Pandas, Numpy, SciPy, Scikit-learn, and more
  • Deep Learning experience in one or more platforms: Tensorflow, Keras, Theano, CNTK, PyggTorch
  • Strong background in math/statistics, machine/deep learning and data mining
  • Experience working in a highly dynamic environment
  • Advantage: cyber security background
  • Motivated, fast learner and independent
  • A team player, excellent collaboration skills