Data Scientist @Electromobility

Design it, build it and test it! See your design comes to life and be part of the electro-mobility revolution!
At Volvo Group Trucks Technology Electro-mobility, we are currently looking for Data Scientist to join out fantastic team working on system simulation and data analytics of Electro-mobility solution.


What do we do?
We are Virtual Product Development and Digital Services in Electromobility, a dynamic section providing world-class solutions for Electromobility systems and delivering customer values for Volvo business units such as trucks, buses, construction equipment and marine applications.


Electromobility is one of the main development areas within Volvo Group and was created to be in the forefront of zero emission transport solutions for a more sustainable tomorrow. Sounds interesting? We want you to join us!


What will you do?
You will have close cross-functional collaboration with colleagues from different parts of the entity, from sales and purchasing to component design actually sitting close to you. You along with the team will be responsible for understanding customer usage and performance of our products and for providing our solutions throughout entire product life cycle, from idea investigation and concept evaluation to industrialization and to aftermarket and maintenance!


Who are you?
We believe that, to be successful in the position, you are a team player and have strong experience in simulation and analysis area. You have automotive or electrical system development experience working in cross-functional teams. You have a willingness to learn and take more responsibility with can-do attitude.


We also believe that you have:
Experience – Education
PhD, MSc. Engineering (Computer science, Electrical sciences, Physical sciences, Statistics)
Background in data science
Experience – Work
Strong Business Acumen in automotive
Data mining and data preparations function development
Machine Learning & AI
GDPR (Data Protection & Compliance)
CRISP-DM (Cross-industry standard process for data mining )
Knowledge
Programming skills (Python, SQL, R)
Data Visualization (Qlikview, PowerBI, Matplotlib, Bokeh)
Machine Learning & AI
Knowledge in Analytical Tools (SPSS, Azure, KNIME)
Data mining and data preparations
Competencies
Communication skills
Statistical modeling and machine learning.
Analytic skills
Personal attributes
Intellectual curiosity
Teamwork
Holistic view
Creativity
Fluent in English - verbal and written
Additional preference
Proven experience in product health monitoring (monitoring of battery, electric motors, electric components, etc.)
Knowledge about data communication, telematics and truck services
Vehicle system (Embedded SW) knowledge
Knowledge of truck and bus applications



#bigchallenges


Kindly note that due to GDPR, we will not accept applications via mail. Please use our career site.