Senior Data Scientist

📋 Description

• Analyze, process, and document large datasets; select appropriate analytical, machine learning, and
• Develop and maintain data structures, storage schemes, processing tools, and analytical pipelines.
• Monitor model performance and stability across use cases; conduct validation, back-testing, and
• Investigate data and model issues, identify root causes, and implement corrective actions or model
• Maintain documentation, version control, audit trails, and data quality practices in support of
• Assess model outputs, conduct ROI and benefit analyses, and present findings on model performance

🎯 Requirements

• Strong grasp of probability, statistical inference, optimization algorithms, linear algebra, and
• Understanding how and when to apply key analytical approaches including regression analysis
• Strong grasp of techniques for model cross-validation and penalizing unnecessary complexity
• Ability to write near-production-level code in at least one general purpose programming language
• Understanding of modern technologies in processing of large data sets, including Apache family

🎁 Benefits

• Personal Development - career pathway for professional growth supported by learning and development
• Work environment - excellent work conditions with friendly environment, recognized team spirit, and
• Social benefit package including life insurance, food vouchers, additional health insurance
• Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid
• Opportunity for Flexible working hours and Home Office.