Scania IT

Data Scientist, Scania IT

Rekryterare
Plats
Sodertalje
Annonserat
den 20 juni 2017
Stängs
den 14 augusti 2017
Kategori
Övriga it-jobb
Anställningsform
Tillsvidare
Sysselsättning
Heltid
Scania is currently undergoing an exciting transformation from being a traditional truck manufacturer to becoming a provider of complete transport solutions. Our success requires smart IT solutions due to increase in the use of digital technology. As a result, Scania IT will be an important player in this change process.

Your role
Being a Data Scientist at Scania involves the following:
  • You will participate in the journey of transforming data value into business value at Scania
  • You will be part of a data science team at Scania IT to support various advanced analytic cases at Scania, where  - You will be a key player in a team during advanced analytic project where the output and finding is arming the business with actionable insights to perform specific business objective in a specific business domain
 
  • You will collaborate with other data scientists at Scania, via different forums, discussing issues like:
           - Best practices
           - Tips and hints
           - Monitoring ongoing development within machine learning fields to keep Scania up to date with latest techniques and platforms.

Your profile
Intellectual curiosity is a pre-condition in order to hold the role of Data Scientist.
  • Familiarity with math and statistics including
            - Multivariable Calculus and Linear Algebra: Differential and Integral Calculus, Vector-Values Functions, Partial Derivatives.
            - Understanding of statistical concepts such asstatistical tests, distributions, maximum likelihood estimators.
 
  • Familiarity with software engineering skills to manage algorithms and complex optimizations including
            - Knowledge of data structures (Binary Trees, Hashing, Heap, Stack, etc.)
            - Complex algorithms such as: Gradient/Stochastic Descents and Primal-Dual methods, Randomized & Sublinear Algorithm etc.
 
  • Familiarity with machine learning types: Supervised learning, unsupervised Learning, Reinforcement Learning, and related techniques and methods.
  • Storytelling capabilities, including:
            - Communication and Visualisation skills. Ability to visualise and communicate the findings in different parts of a data science flow.
            - Ability to explain complex tasks in understandable manner for business analysts and business users.
 
  • Skills in some basic data science tools such as R or Python, and a database querying language like SQL
  • Skills in data munging and data wrangling: Ability to prepare and transform data into format suitable for data science purpose.
  • Good knowledge in English language which is our corporate language.
If you think you fit this description and you like the idea of joining an open minded environment where the team’s results are in focus, we would love to hear from you.

We look forward to receiving your application!

What we offer
In addition to career and development opportunities, we can also offer Scania employees other benefits, such as a company car, performance bonuses, a pension, flexible working hours, lunch at reduced prices and much more. If you live in Stockholm, we offer a direct bus service between Stockholm and Södertälje, the Scania Jobexpress.
 
Additional Information
To find out more about your job, contact Björn Jonasson (Group Manager), +46 (0)8 553 541 61 or Sara Hesselgren (Recruitment Specialist), +46 (0)8 553 519 33.

Application
Your application should include a cover letter, a CV and copies of any certificates.


Please apply through http://www.scania.com/group/en/available-positions/ in order for us to get correct information. In case of problems during applying at scania.com, send Your application to kandidatbokning@scania.com
Important! Refer to Scania Job Id 20171803 in the headline and enclose Your CV, personal letter and relevant copies of grades. We also need Your full name, address, e-mail and cell phone no in order to register Your application. We will not manage incomplete mail applications.