· Commercial experience with various classical data science and Machine Learning (ML) models (e.g. decision trees, ensemble-based tree models, linear regression etc.)
· Familiarity with customer analytics DS concepts or advanced forecasting
· Model hyperparameter tuning
· Model validation frameworks
· Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation
· Previous experience in an analytical role supporting business will be a plus
· Fluency in Python, basic working knowledge of SQL
· Knowledge of specific DS/ML libraries
· Solid experience in one of the cloud computing platforms (Databricks or GCP or Azure)
understanding of Causal machine learning
experience in working with big data and distributed environments would be a plus
commercial experience proven by multiple successful projects in the areas of forecasting would be a big plus
Experience with OOP in Python
familiarity with other languages R, Scala would be a plus
basic computer programming skills and familiarity with programming concepts
experience with deep learning, reinforcement learning or other advanced modeling concepts in classical Data Science problems
ability to come up with creative solutions to address customer problems