Data Science Consultant (all genders)

INVENSITY Group; München; Hybrid; EUR 80.000 - 100.000; Vollzeit

Zusammenfassung

A leading data science firm in Munich is seeking an experienced Data Scientist to analyze and validate data, develop algorithms for predictive maintenance, and collaborate on interdisciplinary teams. Ideal candidates will have a degree in a related field, strong Python skills, and at least 3 years of experience in data science. The position offers a hybrid work model, ongoing professional development, and a supportive onboarding program.

Leistungen

Structured onboarding program

Personal and professional development

Flexible working hours

Attractive promotion opportunities

Performance-related remuneration

Commute costs covered

Qualifikationen

• At least 3 years of professional experience in data science.
• Strong programming skills in Python.
• Solid knowledge in processing large datasets.

Aufgaben

• Clean and verify complex data sets.
• Design and develop advanced algorithms.
• Implement algorithms for condition monitoring.

Kenntnisse

Data Processing

Python programming

Statistical Analysis

Fluent German

Proficient English

Ausbildung

Degree in Physics, Mathematics, Computer Science, Data Science, Electrical Engineering, or Statistics

Tools

Kubernetes

Jenkins

Apache Spark

Apache Airflow

Jobbeschreibung

Welcome

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 opportunitiesthanks 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
[e-mail]
[phone]

Good to know

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

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