Job Description:
An Industry 4.0 company operating in the field of Predictive Maintenance, which is
integral for sustainable smart manufacturing, better supporting value creation. The company
automatically alerts of upcoming failures in real-time, preventing unscheduled downtime, and contributing to the efficient use of resources by ensuring optimum system availability.
We are looking for a passionate and high motivated Data Scientist who lives and breath the
deep sides of the data to join the Data Science and Analytics team and take part of the amazing
fast-growing team. You'll have an opportunity to research, design, implement, and evaluate a
variety of advanced ML algorithms using the latest technology to run our pipelines at scale.
Partial list of our tech stack: Python (and its related scientific stack), AirFlow, MLFlow, Influx, Redis, MySQL, Azure services and more.
Responsibilities:
Taking part in the development of cutting-edge predictive maintenance models
by leveraging various Machine Learning approaches.
Developing large-scale machine learning models.
Bring new ideas, take ownership and bring them to production, end to end
from EDA to model deployment.
Job Qualifications:
M.Sc. in Computer Engineering, statistics, Computer Science or equivalent.
3+ years as a data scientist developing in Python/Spark and working with time
series data, preferably from IoT/Predictive Maintenance company.
3+ years experience in Time Series and Signal Processing Modeling.
Proven Experience with Supervised and Unsupervised Learning.
Proved experience in implementing ML algorithms and building applications in
production.
Strong engineering background. Each member of the group is responsible for
both the scientific and the engineering solution.
Experience with Git Bitbucket or GitHub
Bonus points:
Building Cross Assets/System Level ML models.
Experience with Flow/pipeline tools AirFlow, MLFlow
Experience in cloud computation (preferable Azure).
Experience with SQL an advantage
Familiar with Databases - MySQL, Redis, Influx an advantage