Data Scientist - Energy Systems (m/f/d)

Job Description

With its 7,000 employees, Siemens Technology works hand in hand with the company’s business units to ensure Siemens’ future. Technology conducts research with internal and external partners, including leading universities and promising start-ups. These collaborative endeavors focus on a wide range of future technologies with a view to securing them with patents and supporting them through commercialization. Technology also provides development services for Siemens’ business units and supports them with methods and tools related to business excellence.
The Siemens incubator for electrification develops the next generation of smart grid applications and digital platforms. You will play a critical role in this endeavor. We are looking for a dedicated individual that wants to be part of the team that re-defines how smart grid technologies are developed and used. You will work closely with other software and hardware engineers in a start-up type environment backed up by the substantial resources of a large-scale company.

At Lisbon Tech Hub we create value in the digital transition of companies from Portugal to the world. There are more than 1200 professionals working in Cybersecurity, Analytics Business Intelligence, Application Lifecycle Management, IT Project & Service Management and IT Infrastructure Management. Check it out:

We are a global powerhouse focusing on the areas of electrification, automation, and digitalization. One of the world’s largest producers of energy-efficient, resource-saving technologies, Siemens is a leading supplier of systems for power generation and transmission as well as medical diagnosis. In infrastructure and industry solutions the company plays a groundbreaking role.

Looking for a chance to create a positive impact on our society? Join us!

What role will you play?
  • Be incentivized to create innovation in the energy sustainability arena
  • Be challenged to build predictive and machine learning models that affect our daily lives
  • Be curious to refine existing models and procedures for building high-end analytical modeling processes to improve the how we make energy usage more efficient
  • Continuous be dared to work with large, complex data sets and applying advanced analytical methods as needed
  • Perform strategic data analysis and research energy data structures to support business processes and strategy and discuss results with team leads and customers.
  • Be in the lead running demonstrations, prove concepts and pilots to investigate and prove the feasibility and benefits of the proposed engineer solutions
  • Have the satisfaction to Interact with multiple companies CxO stakeholders and effectively present findings by exploiting visual displays of complex quantity information in a simplified way
  • Identify and develop intelligent and innovative data analytics use cases to optimize business processes
  • Be the partner of choice regarding technology advisory for advanced analytics

We are looking for:
  • Bachelor’s or master’s degree in a relevant discipline (Electrical Engineering, Electronics Engineering, Computer Science, Mathematics, Physics, Operations Research, or related field with recognized college degree).
  • An absolute curious mind to analytically solve problems and find solutions.
  • Work or deep university experience with machine learning, data mining, statistics, or graph algorithms in academic or internship environments, or knowledge in advanced data analytics/data science.
  • Know-how on extract, transform and load Big Data, also we give preference to whom had experience in cloud technology (e.g., Cloud Foundry, AWS, Azure, others).
  • Comfortable working in programming languages (SQL, Python, R, Scala, Julia…).
  • Understanding or at least being familiar on data architecture requirements and conceptual approaches for deploying algorithmic solutions in Big Data (including NoSQL/unstructured data) productive environments.
  • College works on renewals, energy management, electrical mobility, CO2 footprint, sustainability or IoT / IIoT will give you a push in your candidature.
  • Excellent oral and written skills in English and Portuguese, Spanish is a plus. 
  • Most of all being you must be eager to learn and passionate to shine in team.

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: Mid-level Professional

Job Type: Full-time

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