Data Scientist

A tech company that has developed a Super-App, a messaging platform with core features in text and calls (video, audio, group chats, etc.), along with a digital wallet and business solutions for enterprises and small businesses. The app supports business messaging, product catalogs, customer communication, and more, serving millions of users worldwide.

The company's main R&D center is in Israel, offering an opportunity to join a well-established and financially strong company backed by a global corporation, while maintaining the agility and innovation of an Israeli startup.

Located in central Israel, within walking distance of a light rail station, the company operates in a hybrid model with two work-from-home days. It has 200 employees in Israel and 500 globally. Founded over a decade ago, the company successfully exited for nearly $1 billion.

Role Overview-

Part of a team of three researchers, reporting to a director, the role involves end-to-end research and development of algorithms, from exploration to production. It focuses on complex challenges in Dating, Moderation, Content Segmentation, and Recommendation Systems, utilizing ML/DL methods. Tasks include Forecasting, Anomaly Detection, Bayesian Statistical Modeling, and Classification.

Requirements-

• Degree in Statistics, Mathematics or Computer Science.
• Minimum of 2 years of experience in designing, developing and deploying production-level risk & fraud-related models with a proven business impact.
• Worked in a team with peer-review processes.
• Fluency in Python, Pandas/Dask, SQL, PyTorch or Tensorflow. Ability to write readable and maintainable code.
• Strong communication skills. Ability to present technical subjects to non-technical stakeholders.