Datu zinātnieks / Data Scientist (Risk and fraud detection/ML)

📋 Description

• Design and develop ML solutions for risk assessment and fraud detection.
• Collaborate with business and technical stakeholders on ML approaches.
• Source, preprocess, and structure high-quality datasets with data engineers.
• Define performance metrics and evaluation frameworks for models.
• Train, test, monitor, and refine models for accuracy and scalability.
• Deploy ML models to production and extend existing libraries as needed.

🎯 Requirements

• University degree in a numerical field (ML, statistics, math, CS, physics, engineering).
• 4+ years in Data Science or ML related field.
• Strong ML techniques (supervised/unsupervised, DL, NLP).
• Solid foundation in linear algebra, statistics, probabilistic modeling.
• Fluent in Python, SQL, and Python ML libraries (Scikit-Learn, PyTorch).
• Excellent English communication and problem-solving mindset.

🎁 Benefits

• Salary: gross monthly 4,400 EUR to 6,400 EUR.
• Startup-like culture with stability and support functions.
• Modern development processes and tools (Agile, Jira, Confluence, GitLab, Jenkins).
• International team in a publicly traded company.
• Health insurance, modern office, growth opportunities, hackathons, and more perks.