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  • Senior Probabilistic Modeling Specialist

    Siemens Energy (Orlando, FL)



    Apply Now

    A Snapshot of Your Day

     

    Join our distributed team specializing in Artificial Intelligence, where you will be involved in challenging projects spanning the energy industry! By combining strategic and business insights with sophisticated probabilistic solutions, domain know-how, and novel modeling techniques, you own the development of methodologies and tools for sophisticated decision-making that improve the sustainability and reliability of products, solutions, and services for our customers.

    How You’ll Make an Impact

    + As part of our distributed team, you lead the development of sophisticated probabilistic solutions for applications along the value-chain as a Subject Matter Expert

    + You investigate novel modeling techniques to optimize product design and service concepts in close collaboration with domain and you ensure that the tools and methods are broadly applicable across various areas of the business

    + You consult the Product Owners in delivering projects and you document and share methods, processes, and project results. You regularly communicate and present your findings.

    + You coach and mentor junior team members and the business in the application and implementation of new methods for probabilistic analysis, machine learning, and optimization.

    + You keep up to date with the latest developments in physics-based modelling, sophisticated statistics, and data science principles and theories to support the business in making truly data-driven decisions

    + In a partner ecosystem, you collaborate with universities, research institutes, and other industrial players, prepare funding proposals and engage in joint research projects

    What You Bring

    + Advanced/PhD degree in one of the following fields: Computer science, mathematics, physics, engineering, or more than 7 years of experience with a degree.

    + 5+ years’ experience in an industry-related environment in the field of Numerical Simulations, Data Science, or Machine Learning, ideally in the energy sector

    + Excellent analytical skills and profound expertise in statistical modeling (e.g. uncertainty quantification, failure and reliability analysis, maximum likelihood estimation) and you showcase outstanding programming skills (e.g. Python, C/C++, R) for constructing data-driven and model building based on physics

    + Great teammate with a strong ability to work independently, rapidly iterate on ideas, and quickly develop and validate proof-of-concepts; you have the ability to lead and inspire a multi-disciplinary research team and collaborate optimally with diverse collaborators, in a global & multicultural environment.

    + You have excellent writing and communication skills in English, knowledge of any other language is a plus. Experience with public-funded research proposals is desired.

    + Applicants must be legally authorized for employment in the United States without need for current or future employer-sponsored work authorization. Siemens Energy employees with current visa sponsorship may be eligible for internal transfers.

     

    About the Team

     

    Within the enterprise team for Sophisticated Analytics & AI, we develop new methodologies and tools to enable data-driven decision-making along the value chain improving sustainability, reliability, and affordability of our energy solutions across the globe. We provide guidance and direction to the business and drive the strategy for the development of AI technologies within a partner ecosystem across industry and academia.

     

    We are a team of experts from many countries and a diverse group of backgrounds, each with unique missions and challenges in the biggest energy company of the world. We collaborate with our collaborators around the world to protect Siemens Energy and create safer environment.

     

    Our central functions provide first-class services and solutions in the areas of cybersecurity, and thus actively support the business. "Let’s make tomorrow different today" is our genuine commitment at Siemens Energy to all customers and employees on the way to a sustainable future.

     

    Who is Siemens Energy?

     

    At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.

     

    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.

     

    Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo

    Rewards

    + Career growth and development opportunities

    + Supportive work culture

    + Company paid Health and wellness benefits

    + Paid Time Off and paid holidays

    + 401K savings plan with company match

    + Family building benefits

    + Parental leave

     

    https://jobs.siemens-energy.com/jobs

    \#LI-CDS

    Equal Employment Opportunity Statement

    Siemens Energy is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local

     

    law.

     


    Apply Now



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