Principal Data Scientist for Time Series Forecasting

You take the end-to-end responsibility for strategically aligned data science projects, from taking stock of requirements and advising through to putting the solution into production You will be responsible for selecting the right modelling approaches and advising the Data Scientist teams on the methodologies to apply You will prepare training \u0026 evaluation pipelines and apply state of the art Machine Learning approaches to improve processes in Finance (Controlling, Treasury, Accounting), Procurement, HR, and others You are responsible for upskilling Data Scientist teams and preparing adequate training materials You will be driving innovation by staying up to date with the latest advancements in time series research (e.g., forecasting, clustering, anomaly detection) and identifying their potential applications within our products and projects We create data-driven business solutions for our customers. You will be the one creating them and possibly deploying them to production, teaching your customers how to use them, and providing support/maintenance You will be responsible for the technical part in your time series projects designing \u0026 implementing prototypes of innovative applications in Python You will cooperate with the business side including your active contribution in customer workshops, meetings, and calls so the ability to explain technical points to business colleagues is a crucial part of this job, as is a consultant\u0027s mindset You will participate in team brainstorming sessions, code reviews, and pair programming sessions Depending on the use case, you will have the opportunity to work with a variety of tools and technologies such as Docker, Kubernetes, FastAPI, Redis, Celery and ML frameworks like SKTime, Scikit-learn, Nixtla, Tensorflow or other relevant libraries. You will have the chance to identify use cases for automation and application of data science Proactivity towards customer service is essential. A thorough and methodical approach to work Flexible and responsive to changing work patterns and demands Highly developed skills in interpersonal communication Knowledge sharing - active contributor.