data Scientist

abraWheaton, IL
Hybrid

About The Position

Abra Professional Services is seeking a Data Scientist to join a model development team. This role involves leading the development of strategic, enterprise-wide AI and machine learning initiatives across business domains. The position 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. This is a full-time hybrid position based in Central Israel, with one day a week remote.

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.

Nice To Haves

  • 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.
  • 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.

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.
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