Join us in creating the technology that helps the world act together
Be part of a culture built on an inclusive way of working where we are open to your ideas, you are empowered to take risks and are encouraged to be fearless in bringing your authentic self to work.
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The team you'll be part of
Nokia Technologies is licensing Nokia intellectual property, including patents, technologies, and the Nokia brand, building on Nokia’s continued innovation and decades of R&D leadership in technologies deployed in virtually all connected devices used today. Come join us and make an impact!
Patent Analytics team is a key function in Nokia Technology which is responsible for providing and further developing advanced analytics to support the management of our world-leading patent portfolio. As a leading IPR licensing business, we operate in a uniquely data-rich environment, where we can leverage droves of data on customers (e.g., market and company data), competitors (e.g., patent and company data), technologies (e.g., patent and standardization data), and business operations (e.g., financial and operational data) to guide our strategy development and decision making.
What you will learn and contribute to
Patent Analytics team is looking for a junior Data Scientist to leverage fit-for-purpose quantitative methods (e.g., statistics, machine learning, econometrics, optimization, simulation, etc.) to deliver insights into competitor patenting and portfolio management behaviours, solve strategic business problems, and support analytical strategy development and decision making. If you have a strong background in advanced quantitative methods, are passionate about solving complex business problems, and welcome a demanding, global, and fast-paced working environment, you might just be the perfect addition to our exceptional team.
As part of our team, you will:
- Deliver insight into the composition and development of our competitive patent landscape, competitor patenting and portfolio management behaviours
- Develop and validate new metrics and methods for quantifying and comparing patent portfolios
- Leverages economic theory and fit-for-purpose econometric methods to model and quantify the value created by our technologies in different markets and use cases
Your skills and experience
You have:
- M.Sc. (Research Track) or Ph.D. in Economics, or an equivalent economics skillset (Ph.D. level core courses in microeconomics and econometrics required)
- Proven track-record in creating business relevant insights using patent and ETSI disclosure data in cellular SEP analytics and/or portfolio management context, as well as a good understanding of patenting processes, patent data, and data science tools (proven experience in using R, Python, and the Azure Databricks environment required)
- Proven track-record in economic modeling and applied econometrics to support FRAND valuation and pricing in the context of cellular SEP licensing and litigation
It would be nice if you also had:
- Demonstrated ability to write high-quality, production-ready code (readable, well-tested, with well-designed APIs)
- Strong business acumen and proven capabilities in applying quantitative methods (e.g. statistics, machine learning, econometrics, simulation, optimization, etc.) to solve complex problems
- Strong command of statistical theory and practice (e.g. sampling theory, stochastic processes, statistical forecasting, frequentist and Bayesian statistical inference, hypothesis testing, etc.)
- Experience from working with different data types, formats, architectures, and services
- Proven track-record of delivering excellent results in demanding project environments
- Ability to synthesize and summarize key findings in ways that are easy to communicate
- Strategic thinker with a strong command of analytical problem solving
- Self-starter with the ability and drive to deliver quality deliverables on tight deadlines
- Excellent presentation skills and ability to tailor communication to different audiences
- Excellent written and communication skills in English
What we offer
Nokia offers flexible and hybrid working schemes, continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.
Nokia is committed to inclusion and is an equal opportunity employer
Nokia has received the following recognitions for its commitment to inclusion & equality:
- One of the World’s Most Ethical Companies by Ethisphere
- Gender-Equality Index by Bloomberg
- Workplace Pride Global Benchmark
At Nokia, we act inclusively and respect the uniqueness of people.
Nokia’s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.
We are committed to a culture of inclusion built upon our core value of respect.
Join us and be part of a company where you will feel included and empowered to succeed.
