Siemens Energy

Probabilistic Modeling Specialist

Probabilistic Modeling Specialist
Notice info
LocationFlorida, FL
On-site
Renewable Energy Power Generation

About This Job


Über die Aufgabe


Standort


UNITED STATES OF AMERICA


Florida


Orlando


Remote oder Büro


Hybrid (Remote/Büro)


Unternehmen


Siemens Energy, Inc.


Organisation


EVP Global Functions


Geschäftsbereich


Digital Products and Solutions


Vollzeit / Teilzeit


Vollzeit


Erfahrungsniveau


Berufserfahrene


A Snapshot of Your Day

As a member of our distributed team for Artificial Intelligence, you work on exciting projects from all areas of the energy industry! By combining strategic and business insights with advanced probabilistic solutions, domain know-how, and novel modeling techniques, you investigate and develop methodologies and tools for reliability-based decision-making that improve the sustainability and reliability of products, solutions, and services for our customers.


How You’ll Make an Impact

- Working within our distributed team, you will serve as a Subject Matter expert dedicated to developing advanced probabilistic solutions for applications along the value-chain

- You predict component reliability and develop novel modeling techniques to optimize product design and service concepts and you ensure that your tools and methods are broadly applicable across various areas of the business

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

- You support and coach 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, advanced 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 and engage in joint research projects


What You Bring

- Advanced/Masters degree in one of the following fields: Computer science, mathematics, physics, engineering, or 5+ years experience with a degree. A PhD is considered a plus. - 2+ years hands-on experience in the field numerical simulations, data science, or machine learning, preferably in an industry-related environment (e.g. energy sector).

- Excellent analytical skills and profound expertise in statistical modeling (e.g. uncertainty quantification, failure and reliability analysis, maximum likelihood estimation), with a will to learn and constantly improve own skills

- You demonstrate excellent programming skills (e.g. Python, C/C++, R) for data-driven predictive model building and are a phenomenal teammate with a strong customer focus, you like to work in multi-disciplinary teams, and you navigate easily in a global & multicultural environment.

- You have excellent writing and communication skills in English, knowledge of any other language is a plus

- 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 advanced 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 stakeholders 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


Erklärung zur beruflichen Chancengleichheit

Siemens Energy ist ein Arbeitgeber, der sich für Chancengleichheit und Affirmative Action einsetzt und Vielfalt am Arbeitsplatz fördert. Alle qualifizierten Bewerbenden werden unabhängig von Rasse, Hautfarbe, Glauben, Religion, nationaler Herkunft, Staatsbürgerschaft, Abstammung, Geschlecht, Alter, körperlicher oder geistiger Behinderung, die nicht mit den Fähigkeiten in Verbindung steht, Familienstand, familiären Verpflichtungen, Schwangerschaft, genetischen Informationen, sexueller Orientierung, Ausdruck der Geschlechtlichkeit, geschlechtlicher Identität, Transgender, Geschlechterstereotypisierung, Schutzstatus, geschütztem Veteranen- oder Militärstatus oder einer nachteiligen Entlassung aus dem Militärdienst und anderen durch Bundes-, Landes- oder lokale


Gesetze geschützte Kategorien im Einstellungsprozess berücksichtigt.

Chancengleichheit bei der Beschäftigung (Equal Employment Opportunity, EEO) ist gesetzlich verankert.

Bewerbende sowie Mitarbeitende sind durch Bundesrecht vor Diskriminierung geschützt. Klicken Sie hier, um mehr zu erfahren.

Pay Transparency Non-Discrimination Provision

Siemens befolgt die Executive Order 11246, einschließlich der Bestimmung zur Entgelttransparenz und zum Diskriminierungsverbot. Klicken Sie hier, um mehr zu erfahren (.PDF).

Datenschutzerklärung für Kalifornien

Einwohner und Einwohnerinnen Kaliforniens haben das Recht, zusätzliche Informationen über ihre personenbezogenen Daten zu erhalten. Klicken Sie hier, um mehr zu erfahren.

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