Data Scientist

Data Scientist

Arbetsbeskrivning

Do you want to be a key player in taking Vattenfall forward in the emerging energy landscape?
The energy sector is undergoing revolutionary change. Digitalization and the Internet of Things opens up new opportunities such as remote monitoring of distribution networks, increased efficiency and flexibility of production plant through automation and increased transparency and control for end users.
Using innovative solutions, Vattenfall R&D has group-wide responsibility for conducting business driven technical development that supports the company’s strategic focus areas. We are now looking to grow our in-house data analytics capabilities with another Data Scientist (Machine Learning specialist).
We offer you a flexible work environment where you will have the freedom to be creative, work and develop in an exciting and rapidly changing technical field of strategic importance to the company.

Your responsibilities
As a Data Scientist (ML specialist) you are expected to work together with the R&D Data Analytics team on full-cycle, end-to-end data science projects which requires leveraging state-of-the art machine learning techniques, statistical methods and other advanced analytics tools so as to deliver solutions to complex business problems. Through this role you will have the opportunity to collaborate and develop your career together with business domain experts and other experienced data scientists throughout the organization.
At R&D, the data analytics work deals with numbers, text, and images about and from Vattenfall's assets, operations, and customers to do prediction, description, automation, integration, optimization, and visualization using machine learning and other statistical methods, in languages such as R, Python, and Julia on (mostly) Microsoft's Azure platform. We are involved from start to finish in the process, as described below.
Framing and scoping advanced analytics projects for business development with stakeholders
Collecting, prepping, cleaning, and processing data in various types, formats and platforms
Exploring and mapping the complexities of reality and its representation in the data together with domain experts
Doing contextual analysis, explanatory models, and feature extraction/engineering
Developing novel algorithms and models
Parallelization of data processing pipelines
Testing, validating, and iterating points 3-6 until we (a) can deliver usable and relevant results or (b) understand why we cannot
Helping the stakeholders to understand and implement what we deliver (or recommending measures to be taken to achieve success)
Working with IT in putting prototypes and proof-of-concepts into production
Educating Vattenfall about data, advanced analytics, machine learning, and related topics

As part of the team, these tasks and responsibilities will also be your tasks and responsibilities.

Your Profile
Master of Science degree (or higher) in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or related areas
Preferably 3 years of work or research experience
Strong programming skills in various languages and analytics related tools with proficiency in Python and/or R
You have some experience in working agile
You are fluent in English

As a person you are analytical, inclusive, committed and self-driven as well as team player with good communication and interpersonal skills. You are passionate about understanding and solving problems and appreciate working towards deliverables. Furthermore, you are confident in your ability to perform most of the team's responsibilities and tasks on your own. We also believe you have the ability to innovate in regard to new ways of working.

Meritorious
R&D drives a wide variety of analytical problems from concept to production. Hence, the ideal candidate has both some width and some depth to his or her data science toolbox. Expertise in at least one or more of the following areas is considered as valuable:
Time series analysis/Signal processing
Deep learning
Image Recognition
Natural Language Processing/Text analytics
Big data/Cloud computing
IT integration/ Microsoft Azure


For information about the position please contact Jonas Alin, Director, Data Analytics & ICT Solutions +46 702 11 79 53. For information about the recruitment process you are welcome to contact recruiter Summer Lovlinger +46 701 945 664.

Location: Älvkarleby or Stockholm (Solna), Sweden or Kolding, Denmark

Trade union representatives in Sweden Annika Stålenheim (Akademikerna), Anders Bohlin (Unionen), Christer Gustafsson (Ledarna), Juha Siipilehto (SEKO). To get in contact with the representatives, please call Vattenfall´s switchboard +46 8 739 50 00.

We look forward to receiving your application with CV and cover letter via this page, no later than 12th September 2021.

At Vattenfall we are convinced that diversity contributes to build a more profitable and attractive company and we strive to be good role model regarding diversity. Vattenfall works actively for all employees to have the same opportunities and rights regardless of gender, ethnicity, age, transgender identity or expression, religion or other belief, disability, or sexual orientation. Please read more about it here: https://careers.vattenfall.com/about-us/diversityand-inclusion/

Vattenfall is a critical part of Sweden’s infrastructure and as such subject to a number of specific rules and regulations, in example security protection, nuclear non-proliferation and export controls. For these reasons there is an approval process prior to employment for a large number of positions. In addition, if candidates have applied for positions which will give them access to sensitive information or secured premises they must undergo a security vetting process in accordance with the Swedish Security Protection Act.
Öppen för alla
Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

Sammanfattning

  • Arbetsplats: Huvudkontor Sundbyberg
  • 1 plats
  • Tills vidare
  • Heltid
  • Fast månads- vecko- eller timlön
  • Publicerat: 31 augusti 2021
  • Ansök senast: 12 september 2021

Postadress

Löfströms Allé 5
Sundbyberg, 17225

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