Nokia Technology's Patent Analytics team, responsible for providing and advancing analytics to manage our world-leading patent portfolio, is seeking a Full Stack Data Scientist to harness the power of Generative AI and advanced analytics to transform complex patent data into strategic insights. In this pivotal role, you will collaborate with an interdisciplinary team of data scientists, patent attorneys, and business strategists, driving innovative solutions that directly impact decision-making. Our creative and adaptable work environment allows you to explore cutting-edge technologies and methodologies while supporting continuous growth. From developing AI models to implementing scalable data pipelines and delivering compelling visualizations, you will have the autonomy to manage projects from inception to deployment. If you have deep expertise in advanced quantitative methods, a passion for solving complex business challenges, and the ability to collaborate closely with both technical and business teams, this is the perfect opportunity to join our dynamic and innovative team.
HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN
- Develop and deploy advanced AI and Generative AI models to extract insights from complex patent data.
- Design and implement scalable ETL pipelines for handling structured and unstructured data.
- Build and deploy end-to-end solutions, including cloud-based applications and visualization dashboards.
- Collaborate with cross-functional teams to ensure seamless integration of data science solutions into business workflows.
- Communicate findings and actionable insights through compelling data visualizations and storytelling to both technical and non-technical stakeholders.
- Stay current with the latest advancements in AI, machine learning, and patent analytics to continually refine project strategies.
- Lead project phases from conception to deployment, ensuring high-quality deliverables and adherence to timelines.
KEY SKILLS AND EXPERIENCE
You have:
- Ph.D. or M.Sc. degree in a relevant field such as Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline.
- 5+ years of experience as a data scientist with a focus on patent analytics and patent landscape generation.
- Strong programming skills in languages such as Python and experience with big data tools like Spark.
- Flexibility to thrive in a fast-paced and dynamic working environment.
- Willingness to continuously learn and adapt to new technologies and methodologies.
- Proven ability to apply advanced statistical methods (e.g., hypothesis testing, regression analysis, experimental design, predictive analytics) to drive data-informed decisions.
- Proficiency in designing, implementing, and maintaining scalable patent data pipelines. Familiarity with SQL, NoSQL databases, and cloud-based data platforms (e.g., Azure).
- Expertise in supervised, unsupervised, and deep learning methods, with a strong focus on Generative AI and large language models (LLMs).
- Demonstrated ability to create interactive dashboards and comprehensive reports using tools like Power BI, or Python libraries such as Matplotlib, Plotly and Streamlit.
- Experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines.
- Experience with cloud services and analytical tools, preferably with Microsoft Azure platform (e.g. Databricks, Microsoft Fabric).
It would be nice if you also had:
- Ability to identify business problems and craft tailored data science solutions.
- Capability to independently handle all project phases, from data collection to deployment.
- Flexibility to collaborate with specialized teams and contribute to diverse tasks such as modeling, pipeline development, and visualization.
- A proactive approach to leveraging cutting-edge technologies to drive impactful results.
- Excellent verbal and written communication skills to convey technical concepts to non-technical stakeholders.
- Strong interpersonal skills to work effectively within a global, cross-functional team.
About Us
Come create the technology that helps the world act together
Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people's lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work
What we offer
Nokia offers 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. About the Team 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! Job Info
- Job Category Analytics
- Posting Date 01/28/2025, 03:13 AM
- Locations Karaportti 4, Espoo, 02610, FI (Hybrid)
- Degree Level Master's Degree
- Job Schedule Full time
- Role Type Individual contributor
- Job Identification 16230