Data Scientist – AI, Analytics & Forecasting
Orlando, Orange County, Florida, 32885, USA
Listed on 2026-07-01
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IT/Tech
Data Scientist, Data Engineering, Data Analyst, AI Engineer (Applied/Software)
Overview
"We energize society" by supporting our customers to make the transition to a more sustainable world, based on innovative technologies and our ability to turn ideas into reality. With nearly 100,000 employees around the world, we shape the energy systems of today and tomorrow.
Data Scientist – AI, Analytics & Forecasting About the RoleLocation
United States of America
Florida
Orlando
Remote vs. Office
Hybrid (Remote/Office)
Company
Organization
Gas Services
Business Unit
Central
Full-time
Experience Level
Experienced Professional
A Snapshot of Your Day
Step into the future and help us build it. We’ve already created the engine. We’ve programmed the platform. Now we need a data superhero who can bring it to life. Someone who can decode patterns, harness AI, and predict what’s next 3 to 10 years before it happens.
This is your chance to shape the future of a cutting-edge go-to-market product transforming parts inventory sales. As the architect of advanced forecasting, you’ll turn complex data into clear direction fueling smarter decisions, faster execution, and a more resilient business.
How You’ll Make an Impact- 50% Advanced Predictive Modeling & Forecasting
- Build, test, and sharpen advanced models to boost forecast accuracy
- Apply cutting-edge algorithms to crack tough supply chain challenges
- Deploy and own models in production—keep them fast, stable, and reliable
- Partner with IT and engineering to seamlessly integrate models into the business
- 30% Data Analysis & Digitalization
- Dig into complex data to uncover trends that drive smarter demand decisions
- Build sleek dashboards that turn insights into instant clarity
- Automate data and reporting workflows to boost speed and efficiency across the organization
- Own projects end-to-end from idea to measurable impact
- Be the go-to expert driving data science strategy and best practices
- Mentor and elevate the team coach, review, and delegate for growth
- Degree in Data Science, Statistics, Computer Science, Math, or similar quantitative field
- 0–5+ years’ building and deploying predictive models. More years of experience may be considered at a higher level.
- Strong in data science, ML, forecasting, and coding in Python, R, or similar
- Translate data into insight with visualization, SQL, and modern BI/data engineering tools (e.g., Power BI or equivalents).
- Agile, hands-on mindset, streamlining workflows and managing code with Git or similar
- Able to own complex projects, mentor others, and eligible to work in the U.S. without current or future sponsorship
- Supply chain or demand planning experience a plus, not a prerequisite
- Able to manage complex projects and provide mentorship
- 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.
Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
About the TeamOur 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.
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…
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