Tasks

• Requirements gathering/business understanding
• Exploratory data analysis (Data preparation, Outlier detection, Data quality verification, Preprocessing: deduplication, fuzzy matching, format unification)
• Modelling (Feature Engineering / Data Augmentation: imputation, handling outliers, handling missing data, mean encoding, one-hot encoding)
• Model Training: generalized linear models, tree-based models, ensemble
• Model Evaluation: econometrical coefficients interpretation, local approximation, global interpretability
• Presentation of the results: error visualization, bias visualization, variance visualization

Requirements

• Passion for AI
• Advanced Analytics aptitude
• Good statistical/mathematical background – understanding of the math behind ML methods
• Experience with data analysis, SQL and at least one of the following tools/technologies: R, Python, knowledge of data analysis libraries
• Basic computer programming skills and familiarity with programming concepts
• Excellent English skills

Nice to have:

• Experience or interest in with Process Mining tools like Celonis, Process Gold, Fluxicon Disco or others
• Experience or interest in process analysis and improvement

Offer

• Opportunity to boost your career in the data science area
• Working in the Data Science Center of Excellence
• Innovative and challenging projects in different data science fields
• Experience in international projects in the Scrum methodology
• Selection of forms of cooperation and benefits
• Friendly, non-corporate atmosphere
• International work environment standards
• Flexible working hours and remote work
• The #2 Best IT Workplace in Poland according to the 2019 and 2020 AudIT survey by Computerworld