Mize

Junior Data Scientist

Mize Tel-Aviv, Tel-Aviv District, Israel

Software Development · 51-200 employees

6 d ago
data-scientist Junior (0-2 yrs) Full-time Israel
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About the role

Develop and improve machine learning models and LLM-based pipelines for data enrichment and quality checks. Analyze large datasets to identify business opportunities and evaluate model performance in production environments.

What they look for

Python Pandas NumPy Scikit-learn SQL Machine Learning LLMs Data Enrichment Data Validation Feature Engineering Supervised Learning Model Evaluation MLOps Prompt Engineering Data Analysis

Requirements

Requires a B.Sc. or M.Sc. in a quantitative field such as Computer Science, Statistics, or Mathematics. Candidates must have 1-2 years of hands-on data science experience and strong proficiency in Python and SQL.

Full description

Mize is a dynamic Fintech-travel startup headquartered in Tel Aviv, with a global presence in Argentina, Spain, the UK, the US, and India. Leveraging cutting-edge technology, Mize addresses evolving challenges in the travel industry, generating an impressive $12 Billion in sales annually. As a pioneer in the field, we are committed to delivering real financial value to our extensive network of clients.

Our Data Science team is seeking a Junior Data Scientist to help build and improve the models at the core of Mize’s travel data platform.

What you’ll do:

  • Develop and improve ML models
  • Build LLM-based pipelines for data enrichment, validation and quality checks
  • Analyze large datasets to find patterns, data-quality issues and opportunities for business impact
  • Design experiments, define metrics and evaluate model performance in production
  • Turn findings into clear insights and recommendations for technical and business stakeholders

Requirements

  • M.Sc. in Computer Science, Statistics, Mathematics, Industrial Engineering or a related quantitative field
  • 1–2 years of hands-on data science experience (industry, research, or strong academic/personal projects)
  • Strong Python skills, including pandas, NumPy and scikit-learn
  • Solid SQL skills
  • Good grasp of ML fundamentals: supervised learning, feature engineering, evaluation metrics and validation
  • Strong analytical thinking and a pragmatic approach to solving problems
  • Able to work independently and explain your work clearly

Advantage:

  • Hands-on experience with LLMs (prompt engineering, LLM APIs, embeddings)
  • Experience deploying models to production or working with MLOps tools
  • Familiarity with the travel or hospitality industry

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