data Scientist

Description

abra professional services is seeking a Data Scientist.

We are looking for a skilled Data Scientist to join a model development team and lead the development of strategic, enterprise-wide AI and machine learning initiatives across business domains.

This role requires strong hands-on experience in end-to-end model development, classic machine learning, classification and regression models, tabular data, data analysis, Python, and translating business requirements into technical and analytical solutions.

A full-time hybrid position based in Central Israel, with 1 day a week remote.

Key Responsibilities

• Design, develop, and deploy machine learning models on AWS-based infrastructure.
• Derive actionable insights from data using advanced analytical tools and artificial intelligence technologies.
• Define algorithmic solutions to address complex business challenges.
• Analyze structured and unstructured data from diverse sources.
• Present analytical findings and strategic business insights to stakeholders.
• Evaluate and measure model performance and effectiveness.

Requirements

mandatory requirements

• Minimum 5 years of hands-on experience in end-to-end model development.
• Mandatory hands-on experience with machine learning models for classification and regression.
• At least 5 years of experience processing and analyzing large-scale tabular datasets.
• Proven hands-on experience in Python development.
• Strong experience in data analysis and data preparation for models.
• Strong experience in the data domain.
• Strong analytical and problem-solving skills, with the ability to translate business requirements into robust technical and analytical solutions.
• Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, or a related quantitative field.

Advantages

• Experience developing Generative AI-based applications.
• Experience working in large, complex organizations with a broad, system-oriented perspective.
• Practical development experience and strong business understanding within the banking or financial services domain.
• Experience working in cloud-based environments.
• Experience in data processing using PySpark.

Personality requirements

• Strong analytical thinking and problem-solving abilities.
• Ability to understand business needs and translate them into data-driven solutions.
• Strong communication skills and ability to present insights to stakeholders.
• Independent, proactive, and able to work in a complex organizational environment.