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Data Scientist (m/f/d)

Job Description

The time to change is now! 
It's time to build a sustainable future and define how we evolve through technology with purpose. 

At Lisbon Tech Hub we create value in the business digital transition, from Portugal to the world, and IT solutions with purpose. Our team has more than 1300 experts working in areas such as Analytics & Business Intelligence, Application Lifecycle Management, Cybersecurity, IT Infrastructure Management, IT Project & Service Management and IT Strategy & User Experience.
Lisbon Tech Hub innovates, designs, transforms the information technology solutions and services for Siemens through our delivery units. 
Transforming our future starts with every day!

Lisbon Tech Hub is the home of the new technologists - Dream Builders, Impact Creators & Future Makers. 
Are you one of them? Join us!


What role will you play?
  • You’ll be working in an international team based in Portugal and Germany.
  • You’ll contribute to solving the challenges of the energy transition by developing innovative applications such as energy management systems or data analytic applications for buildings and sites, e-car charging solutions and other digital tools and platforms.
  • You’ll support the entire application development lifecycle from requirement analysis, effort estimation, design, development, testing (unit, integration, system), and operation.
  • You’ll collaborate with cross-functional teams on the further development of existing and new solutions.
  • R&D in IoT Data patterns to propose ways to improve data quality, reliability & efficiency of the whole system
  • Responsible for data lakes maintenance: Expansion, Monitoring, Automation and Disaster Recovery


We are looking for:
  • BS or MS in Computer Science or related technical field or equivalent practical experience
  • Successfully completed university degree in Computer Science or other equivalent disciplines.
  • 5+ years of professional experience.
  • Experiences in working with Lean/Agile software development projects and processes.
  • Strong verbal and written communication skills in English are a must.
  • You have a strong achievement drive and bring along curiosity for new things.
  • Very good knowledge of programming languages, with a focus on Python (pandas, SciPy, NumPy, etc), … (.NET and TypeScript is a plus).
  • Experienced in data analytic applications (machine learning - TensorFlow, Keras).
  • Experience in developing prediction systems and machine learning algorithms (using the machine learning tools to create models and classifiers).
  • Experience in preprocessing of structured and unstructured data, pattern identification.
  • Experience with data visualization tools (e.g., Plotly).
  • Strong software engineering background.
  • Deep understanding of current technology trends in the cloud, IoT, and software development.
  • Passion for delivering high-quality solutions and learning new technologies.
  • Experience in working with energy management systems, building automation technologies or other digital energy platforms are a plus.


What we have to offer:
A flexible home office and schedule policy, virtual budget to improve your home office setup, health insurance, a Pension Plan and a Siemens Share Program time and financial support to your studies, medical center in the facilities, sport groups, 2 days for volunteering initiatives and a cool and relaxed environment. 
Access to e-learning platforms (Learnlight, Linkedin Learning and more), discounts with partners.

#Siemens #LXTechHub #ITMakesUsMove

We recognize that building a diverse workforce is crucial to the success of our business. Therefore, Siemens provides equal employment opportunities to all qualified individuals without regard to race, creed, color, religion, national origin, age, gender, marital status, sexual orientation, or non-disqualifying physical or mental handicap or disability.
We strongly encourage applications from a diverse talent pool and welcome the opportunity to discuss workplace adjustments with all our applicants to develop agile working and innovation.

Organization: Technology

Company: Siemens S.A.

Experience Level: Experienced Professional

Full / Part time: Full-time

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