GTAT Data scientist

Over de functie

Locatie
Hongarije
Budapest
Budapest
Bedrijf
Siemens Energy Kft.
Organisatie
Gas Services
Bedrijfseenheid
Central
Voltijd/deeltijd
Fulltime
Ervaringsniveau
Experienced Professional

A Snapshot of Your Day

An opportunity to work in a high-performing development team at the vanguard of the energy transition. We are seeking individuals who are highly motivated to contribute their experience and knowledge to Siemens Energy's product range. The successful candidates will be responsible for evaluating and generating control policies that are required to run a digital solution that optimises emissions of a gas turbine. They will possess strong analytical and mathematical skills, as well as experience in reinforcement learning. Candidates with experience in the field of gas turbine combustion systems will be at an advantage, although this is not a prerequisite for the role.

How You’ll Make an Impact

       Collaborate with subject matter experts

       Select, extract, and explore large data sets

       Identify necessary process data for analysis objectives

       Develop and qualify timeseries prediction models

       Create and validate offline control policies using reinforcement learning algorithms

       Perform statistical analysis and verify model results with graphical representations

       Write reports on control policy testing, commissioning, and verification

       Support hardware-in-the-loop testing in the T3K controls lab (FAT)

       Utilize CI/CD processes

       Provide remote support for parameter optimization during site testing

       Resolve emergent field issues post-deployment

What You Bring 

       A background (minimum degree level) in computer science

       Working in a diverse team with proven team capabilities to turn complex mathematical requirements into software (3-5 years)

       Good communication, collaboration and documentation skills for English

       Optional: Domain knowledge of power plants and gas turbine combustion systems

       German language knowledge is a plus

  • Desired skills
    • Good experience in Python programming (e.g. Pandas, NumPy, MatPlotLib)
    • Working experience in TensorFlow
    • Reinforcement Learning (offline)
    • Knowledge of Java/Kotlin programming
    • Competences in timeseries analysis, error analysis and discrete time signal processing
    • Data extraction, transformation and loading (ETL)
    • Requirement engineering
    • Experience working with agile development teams, and the ability to prioritize and shift tasks to match changes in business priorities

Gas Services

Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet.

What’s it like to work at Siemens Energy? Take a look: https://bit.ly/3hD9pvK  

Who is Siemens Energy?

At Siemens Energy, we are more than just an energy technology company. We meet the growing energy demand across 90+ countries while ensuring our climate is protected. With more than 94,000 dedicated employees, we not only generate electricity for over 16% of the global community, but we’re also using our technology to help protect people and the environment.

 

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.

Our Commitment to Diversity

Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.

Rewards/Benefits

  • Competitive salary based on your professional background
  • Competitive benefits: annual gross cafeteria allowance of HUF 504,000, yearly bonus, loyalty bonus, social benefits, term life insurance, commuting subsidies, daily allowance for travelling periods in case travelling is needed
  • Private health insurance
  • Work in a cohesive, friendly community - families work here too
  • Modern and international environment
  • Flexible working hours for work-life balance
  • 2 home office days per week
  • Regular corporate events supporting your health and wellbeing: free health weeks in spring and autumn, community activities, team buildings, family events, and social initiatives
  • Continuous trainings to improve your professional knowledge and skills
  • You can take a diversified career path with job security of a leading global company
  • Collaborations across functions, business and regions will develop your skills and expand your network of contacts too
  • e-bike rental subsidy
  • Employee referral bonus
  • Employee discounts on purchases and services