Junior Data Scientist
Summary
Junior Data Scientist at Mize, a fintech-travel startup in Tel Aviv, developing ML models and LLM-based data pipelines for its travel data platform. Core stack: Python (pandas, NumPy, scikit-learn) and SQL, with experimentation and model evaluation in production.
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