Job Description
Join Nokia as a Senior Data Scientist, where you'll leverage cutting-edge technologies to transform crude data into actionable insights.
Your expertise in predictive analytics will drive impactful analyses, enabling data-driven decision-making across the organization.
You will integrate and centralize diverse data sources while ensuring robust protection and accessibility for stakeholders.
Collaborating closely with software engineering, you'll contribute specialized knowledge in big data processing.
If you are passionate about data and innovation, and thrive in a dynamic environment, we invite you to shape the future of connectivity with us.
How You Will Contribute And What You Will Learn Technical Leadership: Drive and manage projects, activities, and technical responsibilities within your area of expertise, ensuring high-quality deliverables and documentation.Innovation & Development: Develop tools, methods, and processes; write requirements and specifications to guide R&D efforts.Collaboration & Support: Partner with internal and external teams, providing training, consulting, and technical support to Product Management, Customer Interface, and business lines.Problem-Solving & Efficiency: Lead serious issue resolution, seek cost-efficient solutions, and foster change in the environment.Predictive Analysis: Apply deep expertise in predictive analytics to deliver insights and solutions.Planning & Organization: Contribute to resource planning, work estimation, and process optimization. Key Skills And Experience Education: PhD in Statistics, Machine Learning, Data Science, Computer Science, or Computer Engineering (MSc may be considered).Experience: 5–6 years of significant professional experience in Data Science.Expertise in Machine Learning: Proficient in both supervised and unsupervised learning.Techniques: Linear and logistic regressions, random forests, gradient boosting, neural networks (RNN, LSTM, CNN), text mining, topic extraction, NLP, K-Means, decision trees.Applications: Computer vision, Generative AI, Language Models (e.g., GPT), Retrieval-Augmented Generation (RAG).Technical Skills: Deep knowledge of Python (including libraries such as scikit-learn, Pandas, NumPy).Experience with Jupyter, Spark/Scala or R, PostgreSQL, and ELK stack.Proficiency in Java, Kubernetes, Docker, and microservices-oriented architecture.Familiarity with MLOps practices and collaborative tools (e.g., GitLab).Language Skills: English fluency (both written and verbal) is mandatory.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 EthisphereGender-Equality Index by BloombergWorkplace Pride Global BenchmarkAt 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.
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