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.