Full Stack Data Scientist

at  Nokia

THE TEAM YOU’LL BE PART OF

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.

WHAT YOU WILL LEARN AND CONTRIBUTE TO

Patent Analytics team is seeking a Full Stack Data Scientist who will play a pivotal role in harnessing the power of Generative AI and advanced analytics to transform complex patent data into strategic insights. You’ll collaborate within a dynamic, interdisciplinary team of data scientists, patent attorneys, and business strategists, driving innovative solutions that directly impact decision-making. Our work environment fosters creativity and adaptability, encouraging you to explore cutting-edge technologies and methodologies while promoting continuous growth. From developing AI models to implementing scalable data pipelines and delivering compelling visualizations, you’ll have the autonomy to manage projects from inception to deployment.

Key Responsibilities:

• 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.

If you are an experienced patent data scientist with deep expertise in advanced quantitative methods, a passion for tackling complex business challenges, and the ability to collaborate closely with technical and business teams, you could be the perfect fit for our dynamic and innovative team.

YOUR SKILLS AND EXPERIENCE

Required Skills and Qualifications:

• 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).

Preferred Qualifications:

• 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.

• 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