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Principal Data Scientist

Job

Siemens

Raleigh, NC (In Person)

$167,884 Salary, Full-Time

Posted 3 days ago (Updated 14 hours ago) • Actively hiring

Expires 7/11/2026

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Job Description

Principal Data Scientist Job
ID 509616
Posted since 09-Jun-2026 Organization Smart Infrastructure Field of work Information Technology Company Brightly Software, Inc. Experience level Experienced Professional Job type Full-time Work mode Remote only Employment type Permanent Location(s) Raleigh - North Carolina - United States of America
WHO WE ARE
Build a brighter future while learning and growing with a Siemens company at the intersection of technology, community and sustainability. Our global team of innovators is always looking to create meaningful solutions to some of the toughest challenges facing our world. Find out how far your passion can take you.
ABOUT THE JOB
We're looking for a Principal Data Scientist to set and drive the scientific vision for how Brightly turns asset, maintenance, and operational data into industry-defining intelligence. This is a senior technical role for someone who operates fluidly across rigorous applied data science, modern ML/AI systems, and ambitious frontier bets. Beyond leading our core data science practice — predictive maintenance, asset health, failure prediction, capital forecasting, and decision optimization — you'll spearhead two strategic initiatives that differentiate Brightly in the market: building digital twins of physical assets and exploring custom foundation models for assets, buildings, and the built environment. You'll be a senior technical voice in the company, driving strategy alongside product and engineering leadership while staying close enough to the work to set a high technical bar.
WHAT YOU WILL DO
  • Define data science and AI strategy: Build a multi-year roadmap that connects data to clear customer and business outcomes. Align priorities with Siemens AI initiatives.
  • Advance core modeling capabilities: Deliver solutions in predictive maintenance, failure prediction, asset health, capital planning, and anomaly detection.
  • Develop digital twin capabilities: Lead modeling approaches that represent physical assets using operational, sensor, and engineering data. Enable simulation, forecasting, and decision support.
  • Drive foundation model innovation: Evaluate and develop domain-specific models trained on asset and maintenance datasets. Identify high-value applications such as copilots and intelligent retrieval systems.
  • Partner across
Siemens:
Collaborate with global teams across Smart Infrastructure and Digital Industries to share data, models, and best practices.
  • Operationalize machine learning systems: Work with ML engineering and product teams to deploy scalable, reliable models. Focus on monitoring, performance, and continuous improvement.
  • Ensure responsible AI practices: Lead efforts in model governance, fairness, privacy, and security aligned with enterprise standards.
This is a remotely based role in the US. Qualified Applicants must be legally authorized for employment in the United States and will not require employer sponsored work authorization now or in the future for employment in the United States.
WHAT YOU NEED
  • Advanced degree (PhD or MS) in computer science, statistics, machine learning, operations research, applied mathematics, engineering, or a related quantitative field.
  • 10+ years of experience in data science or machine learning.
  • Strong expertise in: Statistical modeling and machine learning, time series and predictive modeling, and deep learning and modern generative AI (LLMs, RAG, evaluation)
  • Proven ability to translate complex problems into practical, scalable solutions
  • Experience working across teams, organizations, or external partners
  • Good communication skills and executive presence
WHAT MAKES YOU A STANDOUT
  • Experience with digital twins, simulation, or physics-informed modeling
  • Experience building or fine-tuning foundation models on proprietary data
  • Background in IoT, predictive maintenance, asset management, or industrial systems
  • Experience in large, global organizations
  • Familiarity with enterprise AI tradeoffs (build vs.
buy vs. partner)
THE BRIGHTLY CULTURE
We're guided by a vision of community that serves the ambitions and wellbeing of all people, and our professional communities are no exception. We model that ideal every day by being supportive, collaborative partners to one another, conscientiously making space for our colleagues to grow and thrive. Our passionate team is driven to create a future where smarter infrastructure protects the environments that shape and connect us all. That brighter future starts with us. Our Commitment to Equity and Inclusion in our
Diverse Global Workforce:
We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the every day with us. Brightly maintains a Drug Free workplace in accordance with applicable law. #LI-AR1 #Brightly You'll Benefit From Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: https://www.benefitsquickstart.com/siemens/index.html The pay range for this position is $122,951 - $210,773 annually with a target incentive of 20% of the base salary. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. Equal Employment Opportunity Statement Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law. EEO is the Law Applicants and employees are protected from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by Federal or other applicable law. Reasonable Accommodations If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form . If you're unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status. Pay Transparency Siemens follows Pay Transparency laws. California Privacy Notice California residents have the right to receive additional notices about their personal information. To learn more, click here . Criminal History Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.