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Senior Data Scientist
vor 4 Monaten
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”
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
- General awareness of all aspect of data centric applications, that is:
- developments cycles,
- quality control,
- cloud or managed infrastructure, etc.
- You are expected to give insightful advice on all aspects of data driven applications.
- 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
- 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