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.
* 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.
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.
This position is open to all candidates.
