Data Scientist

Job Responsibility

Running end-to-end initiatives (Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment)
Analyzing and interpreting the findings
Drawing conclusions and recommendations- including expected benefits and measuring ROI for enhancing business processes
Pre-sales activities (at senior consultant level)

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
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)
basic computer programming skills and familiarity with programming concepts
strong business acumen
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

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
Experience with MLOps
familiarity with other languages R, Scala would be a plus