Data Scientist - Drive Connectivity at Scania!

Scania is one of the world's leading manufacturers of trucks and buses for heavy transport, and of industrial and marine engines. A growing part of the business consists of maintenance and service, assuring Scania customers of cost-effective transport solutions and maximum uptime. Scania also offers financial services. Scania operates in about one hundred countries and has 42,000 employees. Research and development activities are concentrated in Sweden. Production takes place in Europe and South America, with facilities for global interchange of both components and complete vehicles. In 2014, invoiced sales totalled SEK 92.1 billion and net income after tax amounted to SEK 6 billion. Scania press releases are available at http://www.scania.com

Data Scientist - Drive Connectivity at Scania!

Join the future - Scania Intelligent Solutions, in order to perform ground-breaking work regarding new services for connected trucks and sustainable transportation.

Today every truck leaving the factory is equipped with a IoT communication platform collecting millions of data events, waiting to be analysed to get better insight for the trucks and value through services to our customer in our strive to be global leader in sustainable transportation solutions.

Intelligent Solutions within Connected Services & Solutions are responsible for generating insights and developing applications to be able to continuously drive business benefits. Using existing Scania strengths and combining business with IT, we are creating faster throughput meeting specific needs.

Job description
You are the Data Scientist that will help us reach our goal, through deep data analysis in our data from all the connected trucks, equipment, devices and things.

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.

Your profile
While we certainly don't expect you to have all of these skills from day one, we love to hear about experiences like:
.Technical competences 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 Hadoop clusters, tools in the Hadoop ecosystem, and stream processing.
Ideal candidate is self-motivated and willing to engage in both pure analytical type of duties as well as more hands on operational issues.

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 will need to demonstrate the ability to learn quickly and will have worked in a fast paced and collaborative environment, have a passion for quantitative analysis and will have the ability to draw business insights.

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. .MS in Computer Science, Mathematics, Statistics, Physics or related technical field (or equivalent practical experience).
Our offer
As a Scania employee are you, in addition to personal and professional development opportunities, offered benefits such as company car, mutual bonus, occupational pension, flexible working hours, lunch at reduced prices and much more. If you live in Stockholm, we offer a direct bus service between Stockholm City - Liljeholmen - Södertälje, Scania Job Express.

Further information
For additional information about the position please contact Fredrik Husander, Head of Development support, Connected Services and Solutions, +46 8 553 515 28.