Data Scientist

Do you want to be a part of creating new and advanced solutions for future technology? Do you have insight on what is cutting edge in the area of Advanced Analytics and Data Science? Then you might be exactly the one we are looking for!


Who are we?
We at Volvo Group are constantly moving and changing to be one step ahead in this technology journey. Within Volvo Group Trucks Technology, we are adapting and challenging ourselves to be able to develop new breakthrough transport solutions. We strive to add value and the best solutions to our customers while being energy efficient, sustainable and safer for society. That is why we at the department of Q&CS, Analytics within Volvo Group Trucks Technology now are looking for a new colleague for the position as Data Scientist. Do you want to join us in this journey?
You will be part of the team Innovation and Data Analytics (IDA). Our main assignment is to drive Analytics opportunities all the way through to adopted solutions. We are also working with supporting the Quality & Customer Satisfaction (Q&CS) organization to mature and evolve in their transformation to become more Analytics Driven. In IDA we work in an Agile setup for our deliveries with continuous upskilling of our team as a focal point to stay relevant, this is also achieved by a high variety of work activities.
In our team, we are driven by curiosity and it is important for us to think outside of the box and try new things to be able to best succeed. We are driven by passion for what we do and we also value great communication – without communication we cannot work with so much flexibility and trust as we do today. Lastly, we strongly believe that a helpful team who is passionate about what they do is the key for an effective and good work environment.

What challenge do we offer?
You will work as a Data Scientist within the area of Advanced Analytics depending on your previous experience, You will be identifying what is available on the external market as well as the internal Volvo Group organizations and how we can benefit within Q&CS to utilize Analytics within our Identified opportunities to evolve through Analytics/Advanced Analytics/AI. Other tasks will include:
You will through our team and collaborating partners drive how to reach from opportunities to implemented solutions
You will together with the team, stakeholders and Product Owners break down a common backlog with your experiences of knowledge in the area of Advanced Analytics/BI to be able to go from theory to implementations. You assure a close relationship is held towards our user groups and stakeholders to assure we are on top of their challenges and are solving the most needed requirements first as well as holding the longtime promises to assure a stable evolution of the Analytics area over time
You are keen on participating and driving from Proof of concept to finished solution and take pride in the ownership of solutions

Who are you?
We are searching for a person with a passion for Analytics and Data Science who have previous experiences of working in Agile set ups. You have a strong engagement to identify opportunities from theory into attractive Analytics/Advanced Analytics or AI solutions. You should be curious to focus on Analytics within Q&Cs as well as what we are able to deliver as business value. You are a team player with drive to change through collaboration, co-operation, sharing insights, solutions and ideas. If you have previous experiences of product development within GTT and worked with Product Quality, technical services or Recovery and warranty, it is a plus.
Other requirements for the position are:
MSc in Data Science, Statistics or Computer Science or close to these areas
Experience in Analytics with time spent on Advanced Analytics/ Data Science
Experience of practice as a Data Scientist in a global environment
Proven skills of creating PoCs and Industrialization of Advanced Analytics solutions
Experience of any innovation methodology is a plus
Fluency in English

Technical relevant skills:
Azure Analytic platform
SAS analytic Platform
Data modelling
Phyton
SQL
Machine Learning models and applications such as Pattern Recognition, NLP, Decision trees, Neural Networks and more
[un)]supervised learning
Efficient Data Cleaning techniques
Broad ETL skills
Power BI/Qlick Sense
KNIME
Github
Jira

Curious and want to know more about the role? Please contact me!
Tanja Schou, Director Data Analytics Products, +46313229643


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