Senior Data Scientist

**ABOUT US**: If you are part of aioneers, you are on a journey to revolutionize supply chain management. You are part of a solid, creative start-up and a unique team. You do not only shape how companies manage their supply chain in the future or how aioneers grows - you also shape your own personal success story. At aioneers, we digitize tactical and strategic decision-making through our SaaS platform AIO for supply chain management and manufacturing operations. We believe in creating something big with the smartest technologies and people like you. **YOUR ROLE AT AIONEERS**: To expand our **Product Development Team**, we are looking for an experienced and passionate Senior Data Scientist - Supply Chain SaaS (M/F/d) to join our team in **Germany**. In case the following tasks resonate with you, we are eager to getting to know you: - You gather, analyze and model data to solve complex business problems and evaluate scenarios to make predictions on potential future outcomes in the supply chain domain - You drive continuous improvement of data science and engineering by researching industry leading practices and incorporating it to our company - You are a problem solver, detail-oriented and self-motivated who thrives in a fast-paced, highly dynamic environment, combining technical, product, business and leadership perspectives. - You make decisions based on "best solution” **YOUR PROFILE**: You enjoy ensuring scalability, performance and release capability in a professionally managed start-up through excellent development, time and time again. - University degree in Physics, Statistics, Econometrics, Computer Science, Engineering or another quantitative discipline - About 5-7 years of relevant work experience - Solid knowledge of end-to-end supply chain management as well as experience in supply chain process analysis and optimization - Solid work experience with / in: - Python, SQL and PySpark for data analysis and data exploitation - ETL/ELT best practices - Software development principles - Good understanding of commonly used python libraries for data analysis, e.g. Pandas, Numpy and SciKit-Learn - Understanding of orchestration frameworks such as Airflow - Understanding of deep learning framework such as Pytorch - Experience in working with REST APIs - both synchronous vs asynchronous - Basic understanding of dashboarding tools like QlikSense - developments cycles, - quality control, - cloud or managed infrastructure, etc. - Additionally, knowledge of, first experience with or strong interest in the following points is considered a plus: - Knowledge of time series analysis - Understanding of MLops framework such as MLflow - Large Language Models (LLM) - Affinity for new technologies and a drive to self-employed learning - All skills to collaborate with customers as well as product and engineering teams - Ability to understand customer requirements and challenges, prepare use case driven AIO platform product demos and conduct client presentations - Exceptional communication skills in English (at least B2/C1 level) - German language skills are considered a plus **WHY AIONEERS?**: - Permanent contracts: It is your chance to shape your future as well as that of a company - Employee stock option program: Because we believe in you and your ideas, we share success with you - Attractive insurance offer: We help you take care of your future by offering attractive insurance arrangements - Flexible work arrangements: Enjoy the benefit of flexible work times as well as mobile working to maintain your work-life balance - 30+ 2 (Christmas Eve and New Year´s Eve) days of vacation: We add vacation days on top of the legal minimum so that you have enough time for relaxation in addition to work - Mentor and buddy program: We support you from your first day: both in your daily tasks and in career development - Team events: Family events with all aioneers, so that we not only work together but also celebrate together - State-of-the-art equipment: State-of-the-art laptops and cell phones for more efficient and pleasant digital collaboration