Software Engineer I

Nokia

(Seattle, Washington)
Full Time
Job Posting Details
About Nokia
Nokia is a global leader in the technologies that connect people and things. Powered by the pioneering work of Bell Labs, our research and innovation division, and Nokia Technologies, we are at the forefront of creating and licensing the technologies that are increasingly at the heart of our connected lives.
Summary
We are looking for candidates that are entrepreneurial, that are highly motivated to shape products and implement pioneering technologies that impact millions of people every day! Expertise in big data platforms, machine learning and predictive analytics is a plus. You will work with some of the brightest minds in the industry. This is an opportunity to be part of a fast-paced, growing team at one of the most innovative technology companies in the world.
Responsibilities
This role involves designing, prototyping, and implementing HERE’s next generation core data analysis and predictive analytics systems. You will work in a multi-disciplinary team setting for extensive big data manipulation and aggregation for multiple uses, including predictive model development, online scoring and analytics-driven decision making, big data exploration, reporting, and visualization.
Ideal Candidate
* Bachelor’s degree in computer science (or in a similar field such as mathematics with a significant emphasis on computer science) * 0-2 years of experience as a software engineer in a commercial software development environment. * Strong communication skills * Strong passion for technology, working with great engineers, and having fun! **Additional Preferred Qualifications:** * Background in big data processing toolsets and systems, e.g. Hadoop, Spark, etc. * Background in relational databases and queries, in particular experience with PostgreSQL is a plus. * Master’s degree or doctorate in computer science or a highly quantitative discipline. * Advanced statistical knowledge and associated analysis skills. * Completed coursework or knowledge of machine learning techniques, in particular predictive model validation.

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