Data Scientist Connected Solutions

Volvo Group / Elkraftsjobb / Göteborg
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Connected Solutions Innovation Lab
Connected Solutions Innovation Lab support the Volvo Group through transforming terabytes of data into new business insights delivering innovative and strong business value to the transportation industry.

Data Scientist
Do you want to join a highly innovative organization working within one of the most interesting areas in the Volvo Group, Connectivity? This is the job for you!
Innovation Lab is looking for a data scientist with an urge to apply your scientific knowledge and business skills to analyze large volumes of data, modeling challenges, and develop algorithms to serve Volvo Group and its customer needs. As a data scientist you will be part of a growing team of both junior and senior data analysts/scientists.

Main Responsibilities:
• Apply your scientific knowledge and engineering skills to analyze large volumes of complex data, model challenging problems, and develop algorithms to serve Volvo Groups needs.
• Work and experiment with state-of-the-art data processing and machine learning technologies.
• Work in collaboration with other scientists and engineers across Analytics to design and build creative solutions to challenging problems.
• Work on projects that cut across Volvo Group organizations, including areas such as product development, marketing, and telematics.

Location: Gothenburg
Travel requirements: Occasionally
Starting date: As soon as possible

For further information please contact:
Senior Vice President, Anna Westerberg, Phone: +46 31 3234580
HR Business Partner, Lina Gerlam, Phone: +46 31 3228201

General Profile:
• You have earned an advanced degree in computer science, mathematics, statistics, physics, psychology, or related area
• You have 4-5 years' experience working with advanced analytics
• Experience implementing Regression, Bayesian, Decision Trees, Random Forests, SVM, Clustering, Instance based methods, Association Rules, and

Dimensionality Reduction
• You are a creative problem-solver who is passionate about digging into complex problems and devising new approaches to reach results.
• You have the technical competence to perform more advanced analytics:
• Coding skills (such as Python, Java, or Scala)
• Analytics tools experience (such as Pandas, R, SPSS, SQL, or Hadoop)
• Experience performing analysis with large datasets
• You are capable of tackling very loosely defined problems.
• Process knowledge - automotive industry as well as commercial vehicle operation is preferable
• You are a communicative person that values building strong relationships with colleagues and stakeholders and have the ability to explain complex topics in simple terms.
• You are used to visualize data in an appropriate format

This position requires:
• A university degree or similar (engineering and/or economics)
• Experience from working in a global & cross functional environment
• Good customer relationship and networking capabilities
• Experiences in services development; preferable connected services (telematics)
• Experience from innovation and partner management.
• Have capacity to execute against set targets and a "can do" attitude
• Fluent in English and Swedish - both written and spoken

The Volvo Group is one of the world's leading manufacturers of trucks, buses, construction equipment and marine and industrial engines under the leading brands Volvo, Renault Trucks, Mack, UD Trucks, Eicher, SDLG, Terex Trucks, Prevost, Nova Bus, UD Bus, Sunwin Bus and Volvo Penta.

Connected Solutions is a global unit in the Volvo Group that lead the development of the Volvo Group's connected solutions and supporting capabilities to further strengthen the Volvo Group position and competitiveness in the area. Part of Connected Solutions is Volvo Group Venture Capital with a focus on creating new business opportunities for the Volvo Group through partnerships.

Publiceringsdatum
2017-07-07

Så ansöker du
Sista dag att ansöka är 2017-09-01

Företag
Volvo Group

Adress
Volvo Group

40508 Göteborg

Kontorsadress


Jobbnummer
3595910

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