Data Scientist in Artificial Intelligence Laboratory
Daily activities
Commercial Management and Business Digitalization 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 decisions to secure long-term success.
In this position 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 to analyze diverse data sources, to set the strategies assuring achievement of desired business outcomes in diverse fronts of telecommunication market.
On daily basis, you will identify the internal and the external properties and processes which govern business performance. It will be realized by 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. You will deliver key analytical actions, e.g. 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, but you also should be able to draw reports and to present results for management and internal use. Since you will work with cross-functional team members, you will communicate the logic of your processing flow in the form of specification for algorithmization and automation of problem solving with the use of data science methodology.
We work with:
- Variety of data types and sources
- Advanced Analytics methods, from statistical modeling to Machine Learning methods
- Python / R / Matlab
- Microsoft Azure and Microsoft Cortana
- SQL database tools
Our expectations:
- M.Sc. degree or higher in Mathematics, Physics, Electrical / Electronics Engineering, Econometrics or similar area
- at least 1 year of professional experience in data science field
- experience with optimization techniques: linear, mixed-integer, and other mathematical programming methods
- excellence in analyzing large, complex, multi-dimensional data sets with a variety of analytics methods (math, statistics, machine learning, etc.) and software tools (e.g. scripting in Python, R)
- familiarity with database technologies and querying languages
- ability to translate business requirements into technical solutions
- excellent communication skills and ability to explain complex technical topics to a wide audience
- strong analytical, problem solving and synthesis skills; intellectual curiosity and industry knowledge
- organizational skills
- highly responsible person
- team player
- fluent business English (both written and spoken)
