Data Scientist

Automating classical data gathering and business intelligence, through designing and implementing machine learning based platform and potentially architecting systems that automate data gathering, analytics, and integrating their outcome into other applications. Determines the foundation for data driven and fact based decision-making. Provides the tools and intelligence to formulate strategies and future business development plans.
Interpretation and analysis of data using statistical techniques, visualization, and predictive analytics. Development and implementation of databases, data collection systems, data analysis, and other strategies that optimize statistical efficiency and quality. 

Works closely with project managers and portfolio managers to jointly brainstorm on how automation can assist in ongoing operation.

• Manages tools, methods, and processes linked to the job.
• Is responsible for automation of the portfolio management 
• Gives input to or participates in process development.
• Participates in relevant technical studies and analysis. 
• Develops software and has specialized knowledge on big data analytics tools and methods.
• Ensures that the database is accessible in the organization, and is performing legitimately, and that the necessary safety measures are in place to keep the stored data safe
 

• Master’s Degree (or equivalent) in Statistics, Machine Learning, Data Science, Computer Science, Computer Engineering
• Hands-on experience in the field of Data Science
• Familiarity of field of Machine Learning: supervised and unsupervised learning, linear and logistic regressions, random forests, gradient boosting, neural networks (RNN, LSTM, CNN), text mining and topics extraction, NLP, K-Means, decision trees, ML applied to computer vision, Generative AI, Language Models, GPT, RAG
• Deep Knowledge of Python (scikit-learn, Pandas, NumPy, etc), Jupyter, Spark/Scala or R data science libraries, PostgreSQL, ELK, Java, Kubernetes, Docker, micro-services-oriented architecture, collaborative tools (GitLab)
• English mandatory (written and verbal)

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.