Bachelor's degree in Data Science, Computer Science, Statistics, or a related quantitative field; Master's degree preferred.
5-8+ years of experience in data science, advanced analytics, and AI/ML with expertise in machine learning, deep learning, and predictive modeling.
Proficient in Python, SQL, data engineering, data visualization, and scaling production-ready AI/ML solutions.
Experience in tooling systems and process integration is preferred, but not mandatory.
Proven ability to mentor and develop technical talent and foster a culture of innovation.
Responsibilities
Design, develop, and deploy advanced AI, Machine Learning (ML), and Large Language Model (LLM) solutions for service operations.
Establish operational plans for the lifecycle of AI models, including data acquisition, preprocessing, training, and maintenance.
Research and apply data science principles to create innovative solutions from large datasets.
Conduct advanced statistical analysis to identify trends and inform strategic business decisions.
Lead the development and enhancement of data-driven tooling systems and processes, focusing on TCTP and S4E integration.
Architect and automate data pipelines to ensure reliable and scalable data processing.
Act as a subject matter expert, mentoring colleagues on advanced data tools and analytical methodologies.
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
Full Job Description
A Snapshot of Your Day
Drive the AI Revolution in Service Operations!
Ready to turn data into game-changing business impact? As a Principal Data Scientist for AI, ML & Advanced Analytics within the Steam & Generator, you'll lead the development and deployment of cutting-edge AI and advanced analytics solutions that transform how we work. From building intelligent models and integrating them into enterprise platforms to shaping strategy and mentoring future innovators, you'll be at the forefront of digital transformation, solving complex challenges, accelerating operational excellence, and setting the standard for what's next.
How You'll Make an Impact
50% AI & Advanced Analytics Development
Design, develop, and deploy advanced AI, Machine Learning (ML), and Large Language Model (LLM) agents and models to address complex business challenges within service operations.
Establish operational plans for the entire lifecycle of AI models, from data acquisition and preprocessing to training, validation, and ongoing maintenance.
Research and apply emerging data science principles and techniques to create innovative solutions and drive actionable insights from large datasets.
Conduct advanced statistical analysis and data mining to identify trends, patterns, and opportunities that inform strategic business decisions.
30% Tooling Systems & Process Integration
Lead the development and enhancement of data-driven tooling systems and processes, focusing on TCTP development and S4E integration.
Develop and implement new standards and operational plans for data-driven tooling to improve efficiency and align with functional business results.
Architect and automate data pipelines and workflows to ensure the reliability and scalability of data processing and analysis.
Manage the integration of data science solutions with core business platforms to streamline workflows and improve data accessibility for stakeholders.
20% Mentorship & Knowledge Dissemination
Act as a subject matter expert, mentoring colleagues on advanced data tools, programming languages, and analytical methodologies.
Develop and deliver comprehensive training programs and documentation to facilitate the rollout and adoption of new data tools and AI-powered solutions.
Communicate complex data science concepts and findings effectively to leadership and non-technical stakeholders to guide decision-making.
What You Bring
Bachelor's degree in Data Science, Computer Science, Statistics, or a related quantitative field required; Master's degree preferred.
5-8+ years' data science, advanced analytics and AI / ML with expertise in machine learning, deep learning, and predictive modeling. More years of experience may be considered at a higher level.
Strong technical proficiency in Python, SQL, data engineering, data visualization, and the development, deployment, and scaling of production-ready AI/ML solutions.
Tooling Systems & Process Integration highly preferred, but not required
Proven ability to mentor and develop technical talent, provide thought leadership, and foster a culture of innovation, collaboration, and continuous learning.
Leading complex analytics initiatives, providing technical direction, and driving implementation from concept through business adoption using Agile methodologies.
Strong ability to translate complex technical concepts into actionable business insights, influence stakeholders at all levels, and optimize workflows through data-driven decision-making.
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
Our 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.
Rewards/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
Jobs & Careers: https://jobs.siemens-energy.com/jobs
