Junior Data Scientist
Mize Tel-Aviv, Tel-Aviv District, Israel
Software Development · 51-200 employees
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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
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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