NOKIA MN Commercial Management is looking for an open-minded and engaged person who is keen to work in data science field directed towards establishing an optimal strategy for telecommunication business and in exploitation of data analytics approach for monitoring of strategic milestones attaining.

Commercial Management organization plays a key role in achieving NOKIA’s business targets and commercial strategy definition. It consists of experts with various background including finance and technical fields who constantly analyze market trends and customers need to make best business decision to secure long-term success.

If you are interested in joining of international and dynamic team consisting of passionate people to work on exciting tasks and if you are open to gain new prospective specialty and leverage your professional skills, then this position is for you.

In this position you will be a part of Commercial Strategy and Advanced Analytics team within Commercial Management and you will be responsible for building and maintaining small-to-large analytics infrastructure to be used across the business and consistently conduct research, design, prototyping, and validation of cutting-edge algorithms in order to analyze diverse data sources to set the strategies assuring achievement of desired business outcomes in diverse fronts of telecommunication market.

• Identification of the internal and the external properties and process which govern business performance

• Finding and understanding of data resources suitable for strategy formulation and explanation of business hypotheses

• Proposing new metrics for qualitative and quantitative assessment of business processes performance

• Researching, designing, implementing and deploying full-stack scalable data analytics visions to challenge various business issues and opportunities

• Preparation of data sets for exploration and visualization

• Selection of analytical methods and tools adequate to inherited properties of the complex system and data set

• Delivering ad-hoc analysis, objective assessments of business performance on demand, and thorough, reliable analytics view in a long-term working mode

• Drawing reports and results presentations for the top management and internal use

• Working with cross-functional team members

• Providing the expertize on mathematical concepts of business problem solving

• Writing specification for algorithmization and automation of problem solving with the use of data science methodology

• Leading the projects and project team within the area of techno-economic data processing

• PhD or Master’s Degree in computer science or related fields, e.g. mathematics, physics, engineering or economic sciences

• At least 4 years of experience on data science field

• Excellence in analyzing large, complex, multi-dimensional data sets with a variety of analytic methods (math, statistics, machine learning, etc.) and software tools (e.g. scripting in Matlab, Python, R)

• Familiar with database technologies and querying languages

• Communicative in business English (both written and spoken)

• Strong analytical, problem solving and synthesis skills; intellectual curiosity and industry knowledge

• Organizational skills and ability to work under time pressure and with complex tasks

• Highly responsible person who act independently within his/her own responsibility area

• Team player

• Good communication skills

• Willingness to travel worldwide