Data analysis and validation: Clean and verify complex datasets using statistical and stochastic models to ensure high data quality
Algorithmic development: Design and develop complex algorithms to analyze very large datasets
Data-driven system optimization: Develop data-driven strategies to ensure and continuously improve the functionality, performance, and security of highly complex systems
Coordination and stakeholder management: Act as an interface between technical teams, project management, and clients
Interdisciplinary collaboration: Work in agile, interdisciplinary teams—both internally at INVENSITY and on-site with clients
Knowledge sharing and mentoring: Share your expertise in workshops, coaching sessions, and projects while learning from other experts
Personal and professional development: Grow in a technology-leading environment, build networks, and help shape innovations across diverse industries

Degree in Physics, Mathematics, Computer Science, Data Science, Electrical Engineering, Statistics, or a comparable field
At least 2 years of professional experience in Data Science, Data Engineering, or Data Analytics
Solid knowledge and practical experience processing large volumes of data and an understanding of statistical structures
Excellent proficiency in Python
Experience with technologies such as Kubernetes, Jenkins, Apache Spark, or Apache Airflow is a plus
Willingness to travel for domestic project assignments at client sites
Business-fluent German and fluent English

Welcome to the team! To help you get started, we support you with a structured onboarding program together with other new hires
Rapid learning curve through varied tasks in an innovative environment with diverse projects across industries and clients
Personal and professional development through individual mentoring and coaching, ACADEMY trainings, and a feedback culture
Unique atmosphere and appreciative company culture with monthly office events, an informal first-name culture, fast communication channels, and working towards shared goals
Global network through collaboration with experts at our international locations
Work-life balance through permanent employment contracts, flexible full
or part-time working models, flexible working hours, home office options, and sabbaticals
Attractive advancement opportunities with transparent career paths, rapid assumption of responsible tasks, and international career opportunities
Performance-based compensation package with fixed and variable components
We cover your commuting costs: possibility of covering the cost of a BahnCard 50

Data Science Consultant – m/f/d

Key skills