Welcome
Your profile
* Degree in Physics, Mathematics, Computer Science, Data Science, Electrical Engineering, Statistics, or related fields
* At least 2 years of professional experience in the field of Data Science, ideally with a focus on areas such as Predictive Maintenance or Sensor Technology
* Solid knowledge in processing large datasets and understanding statistical structures
* Strong programming skills in Python
* Experience with technologies such as Kubernetes, Jenkins, Apache Spark, or Apache Airflow is a plus
* Enthusiasm for measurement technology and software development, as well as interest in algorithmics, sensor technology, predictive maintenance, statistics, and FEM simulations
* Fluent in German and proficient in English
What are your benefits?
* Welcome to the team! So that you can hit the ground running right from the start, we will support you with a structured onboarding program together with other new starters
* Steep learning curve through varied tasks in an innovative environment with diverse projects in different industries and with different customers
* Personal and professional development through individual mentoring and coaching, ACADEMY training and a feedback culture
* Unique atmosphere and appreciative corporate culture through monthly events, flat hierarchies, fast communication channels and working towards common goals
* Global network through collaboration with experts at our international locations
* Work-life balance through permanent employment contracts, individual working time models in full or part-time, flexible working hours, home office option and sabbaticals
* Attractive promotion opportunities thanks to transparent career paths including rapid assumption of responsible tasks and international career opportunities
* Performance-related remuneration package with fixed and variable components and semi-annual assessments with salary increases
* The costs for your commute are on us: possibility of covering the €49 ticket and a BahnCard 50
Your contact person
Sinja Seyfert
sinja.seyfert@invensity.com
+49 172 624 714 6
What can you expect?
* Data Analysis & Validation: Clean and verify complex data sets using statistical and stochastic models to ensure high data quality. Derive insights for applications such as predictive maintenance.
* Algorithm Development: Design and develop advanced algorithms to analyze large volumes of data. Create data-driven strategies to ensure and optimize the functionality, performance, and security of complex systems.
* Create Impact: As a Data Engineer, implement applications and sensor systems to enable fast and precise calibration of high-accuracy measurement systems.
* Interdisciplinary Collaboration: Work in agile and interdisciplinary teams – both internally at INVENSITY and on-site with clients.
* Knowledge Sharing & Mentoring: Share your expertise in workshops, coaching sessions, and projects – and learn from other experts at the same time.
* Personal & Professional Growth: Grow in a technology-driven environment, build strong networks, and shape innovations across a wide range of industries.
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