"🚀 DATATRONiQ is a deep-tech 💪 startup in Germany, driving the future of Industrial IoT and Edge AI. Our platform provides a one-stop solution for companies to monitor, analyze, and optimize their assets and processes. Through advanced machine learning and real-time analytics, we transform high-quality industrial data into meaningful insights that drive smarter decisions. We believe in an open and collaborative environment to foster the best ideas from the most creative people - if you are excited about applying AI and data science to real industrial challenges, we'd love to talk with you!"
"As a (senior) data scientist at DATATRONiQ, you will be instrumental in developing our cutting-edge Industrial IoT and AI platform that transforms machine and sensor data into actionable intelligence. You will apply Machine Learning and Advanced Analytics to detect anomalies, predict equipment failures, and monitor product quality in real time. Working closely with developers, data engineers, and domain experts, you will take ownership of the full Data Science lifecycle driving the process from exploration and feature engineering through to successful production deployment and validation, thereby delivering solutions that create real impact in manufacturing."
"At DATATRONiQ, you will join a collaborative and innovative environment where experimentation, knowledge-sharing, and continuous improvement are part of our culture. We host hackathons and weekly show-and-tell sessions to explore new ideas, share results, and continuously learn from each other. We value open communication, reproducibility, and scientific rigor, ensuring our models perform reliably in experiments and deliver measurable impact in real industrial environments."
DATATRONiQ is a German deep-tech startup building an Industrial IoT and Edge AI platform that enables companies to monitor, analyze, and optimize assets and processes. The platform applies advanced machine learning and real-time analytics to convert high-quality machine and sensor data into actionable insights that support smarter operational decisions. The company fosters an open, collaborative culture with hackathons and show-and-tell sessions to encourage experimentation and knowledge sharing. Senior data scientists lead the full data-science lifecycle, focusing on time-series analysis, anomaly detection, predictive maintenance, feature engineering, and production deployment to deliver measurable impact in manufacturing.
Read at Berlin Startup Jobs
Unable to calculate read time
Collection
[
|
...
]