—
startup in Germany, driving the future of Industrial IoT and Edge AI. 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. 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. Work in an agile environment to develop, train, and deploy robust Machine Learning models for Industrial IoT applications Analyze and process large-scale machine and sensor data, especially time-series analysis, feature engineering, and anomaly detection algorithms Collaborate closely with developers and data engineers to seamlessly integrate models into production systems Actively contribute to model design, data-driven feature development, and the product roadmap Support the development of AI applications through a balanced approach combining proven techniques and state-of-the-art methods Completed studies in Data Science, Computer Science, Mathematics, Statistics, Physics, or a related field Strong proficiency in Python and essential data science libraries and machine learning frameworks At least three years of very hands-on experience in data preprocessing, feature engineering, model training, validation, and deployment into production environments Great written and spoken English; German is a big plus Bonus (not required) Attractive workplace with innovative technology and modern equipment A company culture where honesty, professionalism, and integrity count Flat hierarchies, quick decision-making processes, and an agile company structure Budget for personal and professional development Competitive salary commensurate with experience and market standards
| Skill | Source | Confidence |
|---|---|---|
| Python | llm_hard |
100%
|
| Feature Engineering | llm_hard |
100%
|
| Model Deployment | llm_hard |
100%
|
| Time Series Analysis | llm_hard |
100%
|
| Data Wrangling | llm_hard |
80%
|
| Supervised Learning | llm_hard |
80%
|
| Skill | Source | Confidence |
|---|---|---|
| Continuous Learning | llm_soft |
100%
|
| Written Communication | llm_soft |
100%
|
| Teamwork | llm_soft |
100%
|
| Collaboration | llm_soft |
100%
|
| Verbal Communication | llm_soft |
100%
|
| Open-Mindedness | llm_soft |
80%
|
| Problem-Solving | llm_soft |
80%
|
| Critical Thinking | llm_soft |
80%
|
| Query | Country | Status | Response ms | Created |
|---|---|---|---|---|
| Senior data scientist, senior data consultant | extracted | 4457 | 2026-03-22 01:41 | |
| Senior data scientist, senior data consultant | classified | 421 | 2026-03-21 20:38 | |
| junior data engineer in Berlin | de | duplicate | 7171 | 2026-03-21 17:43 |
| junior reporting analyst in Berlin | de | processed | 10269 | 2026-03-21 16:32 |
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