Siemens Energy · 1 day ago
Probabilistic Modeling Specialist
United States
Full-time
Remote
Entry, Mid Level
2+ years expSiemens Energy is a global leader in energy technology, dedicated to developing sustainable energy systems. The Probabilistic Modeling Specialist will work within a distributed team to develop advanced probabilistic solutions that enhance decision-making and product reliability across the energy industry.
EnergyEnergy StorageIndustrialIndustrial AutomationOil and GasPower GridRenewable Energy
Responsibilities
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
Qualification
Required
Advanced/Masters degree in one of the following fields: Computer science, mathematics, physics, engineering. A PhD is considered a plus
2+ years hands-on experience in the field of numerical simulations, data science, or machine learning, preferably in an industry-related environment (ideally within the energy sector). Background may include domains such as material science, fatigue/fracture, degradation and life modeling of components/systems, non-destructive testing, finite-element simulation, molecular dynamics, CFD, design optimization, and efficiency modeling
Excellent analytical skills and expertise in statistical modeling (e.g. uncertainty quantification, failure and reliability analysis, maximum likelihood estimation) combined with strong programming skills (e.g. Python, C/C++, R) to develop both data-driven and physics-based models
You are a great teammate with a strong customer focus, you like to work in multi-disciplinary teams, and you navigate easily in a global & multicultural environment with a will to learn and constantly improve own skills
You have excellent writing and communication skills in English, knowledge of any other language is a plus
Benefits
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
Company
Siemens Energy
Siemens Energy is one of the world’s leading energy technology company.
10001+ employees
H1B Sponsorship
Siemens Energy has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (109)
2024 (84)
2023 (62)
2022 (65)
2021 (72)
2020 (133)
Funding
Current Stage
Public CompanyTotal Funding
$7.43BKey Investors
Ananym Capital ManagementCommercial Bank of DubaiSiemens Pension-Trust e.V
2025-12-09Post Ipo Secondary
2025-03-26Post Ipo Debt· $149.74M
2024-02-29Post Ipo Debt· $4.32B
Leadership Team
Thorbjörn Fors
Group Senior Vice President at Siemens Energy and Managing Director of Asia Pacific
Samuel Morillon
MD Australia, VP Pacific @ Siemens Energy - MD Australia @SiemensGamesa
Recent News
Offshore Technology
2026-01-15
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