Data Scientist/ML Engineer

Tel Aviv / Remote

SecureNative is disrupting the application cyber security market through its cutting edge patent-pending technology. We help SaaS companies to better monitor and protect their online users. We bridge the gap between engineering and security by enabling developers and security teams to implement security without impacting engineering velocity.

We are on our mission to make the world more open and safe, and are looking for smart, fast-paced, out-of-the-box, energetic team players to join our mission. The company is backed by worldwide top Tier VCs and managed by very experienced and successful entrepreneurs and executives.

We're seeking for a Machine Learning A player expert who wants to work with A players. We're a high-growth company on a once-in-a-lifetime journey to revolutionize the way online users are protected.

What You Will Do

  • Responsible for the entire development cycle of the logic solution, turning an idea into a working product, including definition, implementation, testing and debugging.

  • Building predictive ML models that will classify user behaviour and improve our detection techniques.

  • Researching, inventing and adapting algorithmic solutions for solving data science related challenges.

  • Collaborating with engineering on algorithmic aspects.

  • Owning and handling multiple data initiatives and projects.


  • M.Sc. in Computer Science/Mathematics/Engineering or any other relevant field.

  • At least 2+ years of hands-on experience working as a Data Scientist.

  • Strong experience working with Python on Machine Learning projects.

  • Working experience with SQL and NoSQL databases.

  • Experience with AWS SageMaker, Jupyter Notebooks.

  • Experience working with TensorFlow 2.0 and PyTorch.

  • Proficiency with Python data stack Numpy, Pandas, Scikit-Learn, XGBoost, CatBoost, LightGBM etc.

  • Solution orientation and a "can do" attitude - take a task from concept to full implementation.

  • A team player with excellent collaboration skills.

Nice to have:

  • Background in cybersecurity.

  • Experience with Reinforcement Learning.

  • Passionate about making sense of user behavior using AI.