Data Engineer at Contracted Services & Warranty

Do you want to help Scania become a true leader in sustainable transport solutions by optimizing our use of data? Then don’t miss this opportunity!

The assignment

Scania is undergoing a digital transformation where data is the driving force. We at Service Portfolio and Delivery is accountable for Scania’s service portfolio and end-to-end service delivery to our customers. Our team is now looking for a Data Engineer to support us in our journey towards a more data driven Scania. 

Your Profile

You are the data engineer with background in mathematics and statistics that will help us reach our goal, through deep data analysis in our data.

You will work closely with the marketing, business and development team by fetching and analysing relevant data and will involve working with teams and individuals across Scania in a lean organisation at an excellence level.

You will need to demonstrate the ability to learn quickly and have a passion for quantitative analysis and will have the ability to draw business insights. 

Ideal candidate is self-motivated and willing to engage in both pure analytical type of duties as well as more hands on operational issues.

Further on candidate must be:


• Organised and analytical
• Adept at working in a team environment
• Ability to tackling very loosely defined problems.
• Able to handle multiple priorities in a fast moving environment

You as a person are a team player who works well independently, responsive and humble, with an ability to drive technological developments based on business needs.

-Degree in Computer Science, Mathematics, Statistics, Physics or related technical field.

Skills and Experience

While we certainly don’t expect you to have all of these skills from day one, but we love to hear about experiences like:


• Technical competence to perform more advanced analytics:

• Coding skills (such as R, Python, Java, or Scala)
• Analytics tools experience, open source or commercially available libraries and toolsets (such as Pandas, R, SPSS, SQL, Hive)
• Experience performing analysis with large datasets


• Understanding the appropriate statistical or machine learning techniques to use in different circumstances.

• decision trees, probability networks, association rules, clustering, regression, and neural networks


• Familiarity with data modelling on AWS SageMaker, Hadoop clusters, tools in the Hadoop ecosystem, and stream processing.

For further information, please contact

Frida Rawet, Section Manager Contracted Services & Warranty IT at +46 70 765 25 59 

Application

Job Id 20212695. Your application should include a cover letter and a CV.