We are seeking a creative and passionate Data Scientist to join our dynamic data science team in Petah-Tikva (Hybrid). This role is crucial for developing and validating advanced analytical techniques to detect malicious activity and enhance authentication decisions through machine learning and analytics. You will work with rich datasets and cutting-edge technologies, focusing on diverse use cases such as identifying bots, emulators, and malicious human behavior. This position reports to the Data Science Manager and offers the opportunity to lead research projects from ideation to production within a multidisciplinary team of researchers and engineers.

Responsibilities:

Lead research projects, from initial concept to full production implementation, applying machine learning techniques, primarily with tabular data.

Collaborate with Data Scientists, Researchers, Product Managers, and Engineers to develop and validate advanced analytic techniques for security products.

Innovate and research new ML modeling strategies to enhance our fraud and risk detection services.

Build data-driven tools that enable improved decision-making for various stakeholders.

Clearly and concisely present complex data analysis to both technical and non-technical audiences.

Minimum Qualifications:

B.Sc/M.Sc degree in engineering, computer science, statistics, or equivalent experience.

4+ years of experience as a Data Scientist.

Proficiency in machine learning and data analysis principles.

Hands-on experience with Python and relevant data science packages.

Preferred Qualifications:

Relevant experience in the consumer fraud industry.

Knowledge of Cybersecurity technologies and methodologies.

Experience with AWS SageMaker.

Experience with Linux environments, administration, security, and internals