Senior Data Scientist

Posted 27 February 2023
Salary Negotiable
LocationEssen
Job type Permanent
Discipline Data
ReferenceBBBH71195_1677500188
Contact NameLuchele Mendes

Job description

Location: Essen or Remote

Salary: €80,000

Are you a Data Scientist who loves Statistics, Machine Learning and the Construction Industry? Are you motivated to use Data Science and Machine Learning to solve challenges in Heavy Machinery, Mining or Agricultural Industry? Are you driven by creating models like Predictive Maintenance to optimise Machine and Production Efficiency? Then I want to hear from you.

I have partnered with a fast growing company that builds Machine Learning to monitor metrics such as Temperature, Engine and Hydraulics for Engine Manufacturers, Mining Companies and the largest Transportation Machinery in Germany. Accessing data through sensors in machines and engines, they then build neural networks for autonomous learning thereby increasing machine efficiency.

Focusing on Predictive Maintenance, Unsupervised Data, Neural Networks and Machine Learning Engineering along with Statistics and Research, we are looking for a passionate and motivated Senior Data Scientist with a passion for solving Mining, Engines and Machinery Challenges. Someone who loves to code in Python, take ownership of the full-stack Data Science challenges along with deployment and scale. Coupled with a mindset for research and teamwork.

In return you will join a closeknit senior team. You will participate in team-building activities such as competitive sports and visiting decommissioned mines so you can really get under the skin of the problem. Along with a competitive salary and hybrid/remote working conditions, you can partake in a rich and diverse culture solving some of Heavy Machine's greatest challenges.

If you are someone who loves Data Science, is deeply interested in Unsupervised Data, Predictive Maintenance, Deployment in Microservice and tackling Machinery Problems, please apply ASAP.

Kontakt: Luchele Mendes - +41 41 562 50 38