Data Scientist to Retail Digitalization

Are you passionate about data and creating business value out of it? That’s what we do at Retail Digitalization!

Who are we?

Scania is undergoing a digital transformation where data is the driving force. We at Scania IT together with Scania Sales & Marketing is accountable for Scania’s service portfolio and end-to-end service delivery to our customers. Our daily work is organized by the tribe set-up. This role will be located under the Prospecting and Planning tribe, where we strive for improving retail networks overall efficiency, boost service sales and enhance customer experience.

Data management and insight squad is responsible for enabling the whole retail digitalization. We aim for a sustainable data structure to long-term support data-driven initiatives. Both for advanced analytics and BI. We have an exciting journey to set-up data mesh and explore in hybrid cloud platforms. You as a data scientist is part of a cross-functional data team where we have dedicated resources and a full set of data competences to create the end-to-end data flow. We are in the right condition and moment to speed up!

Who are you as a person?

You are driven. You see possibilities more than problems. You are not afraid to question and act. You are curious and dare to try. You start something and you make sure to take it through.

You are not only a data nerd, you are rather business oriented. You love to create end-to-end value from data. We create MVPs and put them into production. Not just on PowerPoint.

You are comfortable with presentations and sharing ideas. Being a team player and working cross functionally is what we do daily.

What do you have in your backpack?

- MSc or equivalent in Computer Science, Statistics or Math  
- Hands-on experience in manipulating and analyzing large datasets. Have worked in all steps of data science workflow and understand the appropriate statistical or machine learning techniques to use in different circumstances
- Be able to understand business problems, refine business requirements, develop hypothesis and formulate short- and long term solutions to them
- Experience in putting machine learning algorithms in production in collaboration with software engineers from application team.
- Familiar with concepts of agile methodologies, CI/CD, DataOps/MLOps.    
- Experience in Big data tools such as Hadoop/cloudera ecosystem, Spark, Kafka etc.
- Experience working with Analytics tools offered by AWS Cloud Platform such as Amazon Sagemaker, Kinesis, Lambda, EC2, DynamoDB etc. Experience in Snowflake is a plus.
- Coding skills in Python and/or Scala
- Domain competence working with aftersales services data is a plus  
 

Further information

If you would like to find out more about the position, please contact Mattias Järnhäll +46-8-553 862 43