Business 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
Experience with Data Analysis, Data Mining, Statistics, Augmented Analytics, Data Science projects 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
Passion for AI
Advanced Analytics aptitude
Strong business acumen
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
Challenging tasks
Freedom of action in the field entrusted
Contributing to the rapidly expanding company
International work environment standards
Selection of forms of cooperation
Private health care (LuxMed)
Flexible working hours
Flexibility regarding remote work
Non-corporate atmosphere
The #2 Best IT Workplace in Poland according to the 2019 and 2020 AudIT survey by Computerworld
