Data Scientist / ML Engineer Amadora

Data Scientist / ML Engineer
Amadora
Amadora, Lisboa, Portugal

Job Description

We are looking for a motivated Data Scientist / ML Engineer to join the Nokia Products & Engineering AI as Service team in Portugal.

AI as a Service mission statement: Develop and nurture innovative, efficient, fully digitalized, and
- quality use cases by becoming a use case driven powerhouse. This team develops product capabilities adopting Machine Learning methods grounded on proven Data Science domain concepts and techniques. It nurtures and boosts excellence in Data Science and Data Engineering disciplines that will be considered state of the art of competences applied to Telco Networks Domain. This organization is designed to be a critical step to future mode of operations where many of our offerings will be use case driven. It includes the domains covering Centralized Operations, Infrastructure, Network and Customer centric use cases.

If you join us, you will have the opportunity to apply your programming and data science skills, your deep knowledge and experience in data analysis and in developing new applications grounded on machine learning that will be deployed globally to our Nokia customers.

To succeed, the Data Scientist / ML Engineer, using his/her competences and technical knowledge, must be driven to get the things done by being able to motivate and lead technical contributors across different organizations and business units.

Job Responsibilities & Competencies

HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN

1. Using data science to demystify big data and unlock new business potentials from complex data sources.
2. Performing research, implementation and testing on new algorithms and applications.
3. Interpretation and analysis of data using statistical techniques, visualization, and predictive analytics.
4. Development and implementation data processing applications, data analysis, and other strategies that optimize statistical efficiency and quality.
5. Identification, analysis, and interpretation of trends or patterns in the data.
6. Analyzing internal and external business challenges to recommend best practices to improve products, processes and services.
7. Implementing strategic decisions within professional area.
8. Solving complex problems based on sophisticated analytical thought and complex judgment.
9. Retaining technical and design knowledge for assigned products and technologies.
10. Applying and maintaining high quality standards.
11. Participating in process and tools development and evolution.

Key Skills And Experience

Generic Qualifications:

1. Technology, engineering or related University Degree or student (Ph
   D or MSc)
2. Technical knowledge and expertise in several of the following areas: machine learning, data analysis and statistics, data visualization, software development, cloud computing.
3. Knowledge and experience in software development, architecture, design and related processes and tools.
4. Self- driven and creative
5. Fluent spoken and written English
6. Strong
   - solving skills
7. Challenge seeking and analytical

Specific qualifications:

1. Good knowledge in the Data Science domain:
2. Machine Learning algorithms, Statistics and Data Analysis
3. Analytics and AI tooling, e. g. Jupyter, Pandas, Scikit-Learn, Py
   Spark, Keras
4. Programming languages: Python, SQL, Java
   Script
5. Data Visualization and BI tooling, e. g. Matplotlib, D3. js, Tableau, MS Power BI
6. Knowledge of IT concepts associated with the deployment of modern networks:
7. Big
   Data and distributed processing (Kafka, Spark)
8. Cloud native software concepts (micro-services architecture)
9. Knowledge of IT concepts associated with the software development tools:
10. Git and CI/CD pipelines
11. Software analysis and design methodologies
12. Knowledge of the following subjects is valued:
13. Docker and Kubernetes
14. Programming languages: Java, C++, R, Scala
15. Software quality and security enforcement

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,
- 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:

1. One of the World’s Most Ethical Companies by Ethisphere
2. Gender-Equality Index by Bloomberg
3. 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. #J-18808-Ljbffr