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Probabilistic Modeling Specialist
Siemens Energy
Developing advanced probabilistic solutions for reliability-based decision-making in the energy industry, utilizing expertise in numerical simulations, data science, and machine learning.
22d ago
Experienced (8-12 years), Junior (1-3 years), Intermediate (4-7 years)
Full Time
Orlando, FL
Office Full-Time
Company Size
91,000 Employees
Service Specialisms
Engineering
Project Management
Consulting
Turnkey
Technical Services
Design
Construction services
Manufacturing
Sector Specialisms
Utilities
Independent Power Producers
Transmission System Operators
Oil and Gas Industry
Energy-Intensive Industries
Power Generation
Heat Generation
Thermal Power Plants
Role
What you would be doing
physics modelling
probabilistic solutions
predictive modelling
data science
advanced statistics
research collaboration
- 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 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
- 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 and coach the business in the application and implementation of new methods for probabilistic analysis, machine learning, and optimization.
- In a partner ecosystem, you collaborate with universities, research institutes, and other industrial players and engage in joint research projects
What you bring
machine learning
python
advanced degree
analytical skills
communication skills
customer focus
- 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.
- 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.
- You have excellent writing and communication skills in English, knowledge of any other language is a plus
- Advanced/Masters degree in one of the following fields: Computer science, mathematics, physics, engineering. A PhD is considered a plus.
- 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.
- Supportive work culture
- Parental leave
- Company paid Health and wellness benefits
- Career growth and development opportunities
- Paid Time Off and paid holidays
- Family building benefits
- 401K savings plan with company match
Information not given or found
Interview process
Information not given or found
Visa Sponsorship- applicants must be legally authorized for employment in the united states
- company may conduct background checks as part of the hiring process
Company
Overview
- Offers cutting-edge solutions across the energy value chain.
- Evolved into a global leader in energy innovation from pioneering technologies.
- Plays a crucial role in accelerating the world's transition to a low-carbon future, focusing on sustainable energy production.
- Broad portfolio includes gas turbines, power plants, renewable energy systems like wind and solar, supporting the shift to cleaner power.
- Known for highly specialized solutions, from energy storage to grid optimization, helping utilities and industries thrive sustainably.
- Major projects include large-scale renewable energy plants, carbon capture initiatives, and smart grid solutions that help stabilize the power supply.
- Behind some of the world's most innovative and efficient energy technologies, driving change on both small and large scales.
- Distinct for its ability to combine legacy power systems with the latest advancements in renewable energy, shaping the future of power.
- We embrace sustainability and environmental responsibility.
- We deliver excellence and innovation in everything we do.
- We act with integrity, fairness, and transparency.
- We respect the diversity of people, cultures, and perspectives.
- We are agile and adaptive, finding new ways to innovate and improve.
- We collaborate with customers, colleagues, and partners to achieve shared goals.
Net Zero by 2050
CO2 Emissions Target
Aiming to achieve net zero CO2 emissions by 2050.
45% Emissions Cut
Reduction by 2025
Targeting a 45% reduction in CO2 emissions by 2025, compared to 2019 levels.
- Aims to lead the energy transition by providing cleaner and more efficient energy solutions.
- Focuses on reducing operational impact by investing in sustainable technologies.
- Portfolio includes products and services to help customers reduce emissions and improve energy efficiency.
30% women
Leadership Goal
Target to increase women in leadership positions.
- Aims to achieve a 50/50 gender balance in their global workforce by 2030.
- Focused on building an inclusive and diverse workforce, prioritizing equal opportunities for all employees.
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