Data Scientist (ML)

TL;DR

Data Scientist (ML): Analyzing data and developing predictive models to detect fraud in online banking with an accent on statistical modeling, machine learning, and deep learning algorithms. Focus on exploratory data analysis, production deployment of models, and end-to-end solutions for fraud prevention.

Location: Israel - TLV

Company

Leader in Behavioral Biometrics using machine learning to analyze user behavior for fraud prevention, trusted by 32 of the world's largest 100 banks.

What you will do

• Work with stakeholders to understand requirements and build predictive models for fraud detection.
• Develop and deploy statistical, machine learning, and deep learning models in production.
• Conduct exploratory data analysis and create data visualizations to communicate insights.
• Collaborate with data engineers and developers on end-to-end deployable solutions.
• Implement advanced analytics tools to improve reporting.

Requirements

• Bachelor's or Master's in Computer Science, Mathematics, Statistics, or related field.
• 5+ years as Data Scientist or equivalent, with production experience (or PhD with relevant experience).
• Strong Python programming and SQL proficiency.
• Deep knowledge of statistical analysis, ML, deep learning, and data visualization.
• Strong communication and collaboration skills.

Nice to have

• Experience developing AI agents like LLM-based assistants or autonomous workflows.