Senior Technical Specialist

As a Senior Technical Specialist, you will play a key role in developing and maintaining network management applications for optical transport technologies, ensuring efficient configuration, fault supervision, and performance monitoring. You will leverage your expertise in data science and machine learning to enhance network management capabilities, applying advanced models and feature engineering techniques. With strong proficiency in Python, Java, GoLang, and cloud-based technologies, you will drive innovation, optimize performance, and enable seamless deployments through CI/CD pipelines. Your adaptability and leadership will help mentor junior developers, foster collaboration, and navigate the fast-paced, evolving landscape of optical network management. This role offers the opportunity to make a significant impact on global deployments while continuously learning and growing in a cutting-edge technological environment.

• Knowledge on Optics Division products, including Photonic/WDM, Optical Transport, and SDH/SONET.
• Optics Network applications provide users with control over the network, including configuration (infrastructure, end-to-end services), fault supervision, and performance monitoring.
• Applications interface with various Network Elements, provide a user-friendly graphical interface, and implement algorithms and functions to simplify network management and reduce OPEX.
•  Applications are deployed worldwide in hundreds of installations, serving a wide range of customers, from large enterprises to small businesses.
• Contributing to new developments and maintaining applications to enhance functionality and improve customer satisfaction.

You have:

• Bachelor's degree or equivalent, with 7 to 12 years of experience as a Data Scientist.
• Analyze data and apply suitable models (single variate, multivariate). 
• Expertise in different learning models (Supervised, Unsupervised, and various Neural Network variations).
• Proficient in applying probabilistic and stochastic models to different data sets and performing feature engineering for various models.

It would be nice if you also had:

• Proficiency in NumPy, Pandas, PyTorch, SciPy, Keras, TensorFlow and GoLang, corresponding packages for Java, Python, and various Time Series databases.
• Ability to differentiate between Proof-of-Concept mode and Deployment for small- and large-scale data using CI/CD pipelines. 
• Optical Transport domain for effective feature engineering and Capable of leading a team and working in a fast-paced, iterative environment.

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.