Position: Application Specialist  |     Presenso| SKF
Company: SD Solutions
Category: Data Science
Experience required: 1y
English level: intermediate
Published: 2021-08-01T00:00:00+03:00

**Who we are:**

SKF is a world-leading bearing company founded in Gothenburg, Sweden, in 1907, offering an arena for innovation – an opportunity for the customers to use the tools we provide to explore, improve or rethink the performance of their rotating equipment. A place where even the smallest adjustment can make a big difference.

Presenso as part of the SKF Connected Technologies organization, provide scalable, digital IoT, driving the industry 4.0 revolution within SKF and for our customers.

**What to do:**

The Professional Services department is in charge of working with customers, and worldwide SKF users, to implement digital solutions used for customer asset condition monitoring and predictive maintenance based on the most advanced technologies including AI, ML, Big Data, mobile technology, and cloud computing.

**What you will do:**

As part of the Professional Services Department, you will:

Investigate and Understand data
Convey Insights from Data to other team members
CalibrateML Modules, by configuring SKF AI Software
Setup & Configure dashboard by configuring SKF AI Software
Assist in any other required tasks of the Profession Services Department

**Technical skills:**

Experienced in Numerical Data Analysis, preferably by Machine Learning
Basic programming knowledge (such as C / Matlab / Python / R / SQL)
Ability to understand user requirements and translate them into technical specifications
Ability to understand and troubleshoot system and application flows and configure solutions accordingly
Fluent in English – must

**Personal Skills:**

Good Communication Skills, team player, organized, multi-task
Detailed, accurate, high analysis capabilities
Self-motivated and able to learn and work independently, “Can do” approach
Adaptive, Resourceful, Sense of ownership and urgency when handling customer issues