RI
RiachueloMid-level Data Scientist
Data Scientist transforming customer data into insights that guide strategic decisions for Riachuelo. Collaborating with teams to analyze and visualize data trends for business growth.
About the role
- 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
Job title
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