Data Scientist - Consumer Anaytics, Forecasting

Requirements

Must Have

• 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)

Nice To Have

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

General

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