Data Crunching & Validation: Tame messy, complex datasets using statistical and stochastic models to ensure top-tier data quality. Extract actionable insights that drive predictive maintenance strategies.
Algorithm Engineering: Design and build robust algorithms capable of handling massive data volumes. Leverage data-driven approaches to boost functionality, performance, and safety in complex, high-stakes systems.
Make an Impact: Deploy state monitoring algorithms in safety-critical environments using advanced sensor networks. Your code makes systems smarter—and safer.
Cross-Functional Collaboration: Work hand-in-hand with agile, interdisciplinary teams—both at INVENSITY and directly with clients on-site.
Knowledge Sharing & Mentorship: Lead and learn through workshops, coaching, and project-based collaboration. Grow your skills while uplifting others.
Career Growth in Tech: Evolve in a cutting-edge environment, expand your network, and drive innovation across industries—from aerospace to automotive to industrial tech.
Degree in Physics, Mathematics, Computer Science, Data Science, Electrical Engineering, Statistics, or a related technical field
Minimum of 2 years of hands-on experience in Data Science—ideally with a focus on predictive maintenance, sensor technologies, or the aerospace industry
Strong background in processing large-scale data and a deep understanding of statistical patterns and modeling
Proficient in Python programming, especially in data-centric applications
Experience with tools and platforms like Kubernetes, Jenkins, Apache Spark, or Apache Airflow is a big plus
Passionate about metrology, software development, algorithm design, sensor tech, predictive maintenance, and statistics
Fluent in English and business-proficient in Spanish