As Nokia's growth engine, we create value for communication service providers and enterprise customers by leading the transition to cloud-native software and as-a-service delivery models. Our inclusive team of dreamers, doers and disruptors push the limits from impossible to possible. 

CCS service practice has embarked on a journey to build best in class Automation platform to support efficiencies in our managed service business.

To support us , we are looking for an enthusiastic Data Science expert with intense experience in MlOps to join Engineering(R&D) team in CCS Service practice. 

As part of our team, you will Serve as lead data strategist / scientist to identify and integrate new datasets that can be leveraged through our product capabilities, and work closely with the engineering team in the development of data products

As the Data Scientist you will engage in AI/ML projects starting with a discovery phase, proof of concept, industrialization, and deployment. You will also collaborate with other Data Scientists to define the methodology and evaluate the possible and most appropriate technical solutions. You will lead the functional and technical analysis of the needs of internal and external customers in terms of analysis and contribute to the design and implementation of the customer solution; describe, explain, and document the implemented solution as well as the results in terms of data analysis and solution performance, and also propose, implement, test, and select the best machine learning algorithms using the different statistical tools and methodologies of Data Scientists to discover, describe and predict. You will also participate in the specification of industrialization and the implementation of the industrialized solution.

• Responsible to implement MlOps lifecycle.
• Responsible to qualify automation use cases for Machine learning. 
• Execute analytical experiments to help solve problems across various domains and industries.
• Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables.
• Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy.
• Analyze data for trends and patterns, and interpret data with clear objectives in mind
• Implement analytical models in production by collaborating with software developers and machine-learning engineers.
• Enhancing data collection procedures to include all relevant information for developing analytic systems.
• Processing, cleansing, and validating the integrity of data to be used for analysis.
• Analyzing large amounts of information to find patterns and solutions.
• Developing prediction systems and machine learning algorithms
• Propose solutions and strategies to tackle business challenges
• Collaborate with Business and IT teams.

• MSC (preferably PhD) in Statistics, Machine Learning, Data Science, Computer Science, Computer Engineering
• 3-4 years of relevant experience in the field of Data Science
• 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.
• 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)
• Experience in taking offline models and turning them into a real machine learning production system
• Ability to design and implement cloud solutions (AWS, Azure, or GCP)
• Experience with Docker and Kubernetes.
• Ability to build MLOps pipelines.
• Good understanding of Linux.
• Knowledge of frameworks such as Keras, PyTorch, Tensorflow.
• Experience with software development.

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