Data Scientist (Analytics)| Presenso, SKF Group $4500-5000 Offline
As such, you will be a part of an international team that designing and developing AI solutions for the predictive maintenance ecosystem in SKF.
industrial-ai.skf.com
Key Responsibilities:
Bringing AI solutions from research into production
Training analytical components
Developing methods to explain prediction models of industrial failures
Developing unsupervised approaches for anomaly detection
Maintain and support product development and product users
Skills & Qualifications:
Programming experience in Python/Matlab
AWS SageMaker - huge plus
Experience of 4+ years in data science working in a production environment
Strong English and communication skills (both speech and writing)
Highly motivated and positive-attituded person
Team player
Experience with agile development methodology
Outstanding communication skills
Passion for data
Preferable Skills & Qualifications:
Delivery oriented
Experience with Java
Experience with Signal Processing
Experience in the field of predictive maintenance
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing
Technology stack:
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing
About the project:
EnlightAI provides an AI-Driven Industrial Intelligence solution. The EnlightAI solution uses advanced Artificial Intelligence to provide real-time asset failure predictions based on monitoring sensors’ signal data in the cloud. With its proprietary adaptive algorithms, EnlightAI can analyze sensor behavior, automatically learn how machines behave, and use this learning to predict machine failures before they occur.
Last year, Presenso was acquired by Swedish-based SKF, the world’s largest bearing manufacturer with over 45,000 employees.