Data Scientist - Time series and forecasting

§Commercial experience with various classical data science and Machine Learning (ML) models (e.g. decision trees, ensemble-based tree models, linear regression etc.)

§Knowledge of customer analytics concepts or advanced forecasting

§Model hyperparameter tuning 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

§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

Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.

• 110+ training opportunities yearly.
• Internal Gallup Certified Strengths Coach to support your growth.
• Grow as we grow as a company. 76% of our managers are internal promotions.
• A diverse, inclusive, and values-driven community.
• Autonomy to choose the way you work. We trust your ideas.
• Create our community together. Refer your friends to receive bonuses.
• Activities to support your well-being and health.
• Plenty of opportunities to donate to charities and support the environment.
• Modern office equipment. Purchased for you or available to borrow
• depending on your location.