Programming experience in Python/Matlab
AWS SageMaker
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
M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field
Delivery oriented
Visualization tools
Knowledge of Spark, Kubernetes, Ray, Tune is an advantage
Knowledge of Sklearn, Pandas, Timeseries
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
Signal processing
Be part of a young growing company;
Build great products with emerging technologies;
Work with the sharp and success-oriented team;
Gain experience in one of the hottest technological markets;
Competitive compensation and social packages;
Comfortable office in Kyiv Center;
Food supply in the kitchen e.g. fruits, cookies
Flexible working schedule
Bringing solutions from research into production
Developing AutoML components for predictive modeling
Developing methods to explain prediction models of industrial failures
Developing unsupervised approaches for anomaly detection
Maintain and support product development and product users
On behalf of Presenso, part of SKF group, we are looking for a talented, dynamic, high impact data-scientist with full motivation and energy to be part of the Data-Science department. 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