Data Scientist
On-siteKyiv, Kyiv City, Ukraine
Job Summary
Analyze fraud patterns, customer behavior, and model outcomes to identify opportunities for product and model improvements. Partner with engineering and product teams to define evaluation metrics, investigate gaps in current product behavior, and propose practical improvements that drive customer value. Design and run experiments on features, modeling approaches, and datasets to validate ideas and improve model performance. Evaluate model quality through dataset analysis, error analysis, calibration, and score distribution investigations. Build repeatable analyses, prototypes, and internal tools that support research, diagnosis, and operational decision-making. Communicate findings and recommendations clearly across data science, engineering, and business stakeholders. This role requires a Bachelor's degree in Computer Science or Statistics and 2+ years of relevant industry experience.
Required Qualifications
- Bachelor's degree in Computer Science, Statistics, Mathematics, a related technical field, or equivalent practical experience
- 2+ years of relevant industry experience in data science, machine learning, analytics, or a closely related field
- Strong foundation in machine learning and data science best practices, with experience applying them to real-world problems
- Experience working with large datasets using tools such as Python, Jupyter, Pandas, PySpark, scikit-learn, PyTorch, TensorFlow, or similar technologies
- Comfort performing both deep analysis and lightweight prototyping to test ideas quickly
- Strong problem-solving skills and the ability to work effectively in ambiguous spaces with competing priorities
- Clear communication and collaboration skills, with a team-first mindset
Desired Qualifications
- Experience in fraud, risk, trust and safety, cybersecurity, or adjacent domains
- Familiarity with Java or another object-oriented programming language
- Experience partnering closely with software engineers to productionize analytical or machine learning improvements
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