Data Science Consultant at INVENSITY involved in data analysis and algorithm development for complex systems. Collaborating in interdisciplinary teams and ensuring high data quality in projects.
Responsibilities
Data analysis and validation: Clean and validate complex datasets using statistical and stochastic models to ensure high data quality
Algorithm development: Design and develop complex algorithms to analyze very large datasets
Develop data-driven strategies to ensure and optimize the functionality, performance, and safety of highly complex systems
Generate impact: Implement condition-monitoring algorithms for safety-critical systems using complex sensor networks
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, expand your network, and shape innovations across diverse industries
Requirements
Degree in Physics, Mathematics, Computer Science, Data Science, Electrical Engineering, Statistics, or a related field
At least 3 years of professional experience in Data Science
Solid experience handling large-scale datasets and a strong understanding of statistical structures
Excellent 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, with an interest in algorithms, sensor technology, predictive maintenance, and statistics
Business-fluent German and fluent English
Benefits
Welcome to the team! To help you hit the ground running, we support you with a structured onboarding program alongside other new hires
Rapid learning curve through varied tasks in an innovative environment with diverse projects across different industries and clients
Personal and professional development through individual mentoring and coaching, ACADEMY training, and a feedback culture
Unique atmosphere and appreciative company culture with monthly events, flat hierarchies, fast communication channels, and working toward common goals
Global network through collaboration with experts at our international locations
Work-life balance through permanent contracts, flexible work models (full- or part-time), flexible hours, home office options, and sabbaticals
Attractive advancement opportunities through transparent career paths, quick assumption of responsibilities, and international career options
Performance-based compensation package with fixed and variable components and semi-annual reviews with salary increases
Commuting costs covered: possibility of covering the cost of a BahnCard 50
Data Scientist responsible for data valorization and AI solutions at OLVEA. Join our team in driving digital transformation by developing impactful data - driven solutions.
Data Scientist at Capital One leveraging machine learning technologies. Partnering with cross - functional teams to architect personalized recommendation engines and deliver data - driven solutions.
Data Scientist leading projects and stakeholder engagement at Desjardins. Overseeing data analysis and developing advanced analytics solutions with a focus on business insights.
Data Science Intern at Hearst Newspapers tackling real - world challenges in digital media. Collaborating with teams to derive insights and influence business strategies.
Actuarial Data Manager leading and mentoring data analysts in health sector financial objectives and analyses. Overseeing data quality and assisting with financial forecasting and reserving.
Data Scientist responsible for designing data models and optimizing data analysis processes to deliver actionable insights. Collaborating with stakeholders to improve business outcomes in India.
Duales Studium in Data Science und Künstliche Intelligenz mit Bachelorabschluss (DHBW Mannheim). Fokus auf Digitalisierung, Prozessoptimierung und KI - gestützte Modelle.
Intern in Data Science at Wealthsimple, Canada's largest fintech company. Contributing to innovative projects in financial services while receiving mentorship and support.
Data Scientist leveraging AI and advanced analytics for data - led decisions at Zurich. Collaborating across teams to enhance the data - driven strategy and supporting business needs through data.
Data Scientist II focusing on fraud and model governance at Bank of America. Interpreting datasets, developing strategies, and applying analytics for decision making.