Data Science Consultant (all genders)

What can you expect?:
• Data Analysis & Validation: Clean and verify complex data sets using statistical and stochastic models to ensure high data quality. Gain insights to implement predictive maintenance approaches
• Algorith Development: Design and develop advanced algorithms to analyze very large volumes of data. Create data-driven strategies to ensure and optimize the functionality, performance, and security of complex systems

• Create Impact: Implement algorithms for condition monitoring in safety-critical systems using complex sensor networks

• 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

Your profile:
• Degree in Physics, Mathematics, Computer Science, Data Science, Electrical Engineering, Statistics, or related fields
• At least 3 years of professional experience in the field of data science, ideally with a focus on e.g. predictive maintenance, sensor technology or in the aeronautics sector
• 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 and statistics
• 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

Good to know:
Type of position: Permanent position, open-ended
Place of work: hybrid (homeoffice and on-site)
Salary: based on experience and expertise

Your contact person:
Sinja Seyfert
[email protected]
+49 172 624 714 6