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Data Science Intern
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Esta es una vacante externa, deberás completar el proceso en el sitio de la empresa.
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We are looking for dedicated and talented people who tackle ever-changing challenges, customer needs, and questions from colleagues with clever concepts and creativity. We embrace change and work with curious minds re-inventing the future of work. Join us and let us focus together on what's truly important: making lives better with new ideas and the latest technology around the world.
Why you'll love working for Siemens!
- Freedom and a healthy work- life balance– Embrace our flexible work environment with flex hours, telecommuting and digital workspaces.
- Solve the world's most significant problems – Be part of exciting and innovative projects.
- Engaging, challenging, and fast evolving, cutting edge technological environment.
- Opportunities to advance your career and mentorship programs on a local and global scale.
- Contribute to our social responsibility initiatives focused on access to education, access to technology and sustaining communities and make a positive impact on the community.
- Participate in our celebrations, social events, and offsite business events.
- Opportunities to contribute your innovative ideas and get rewards for them!
- Diversity and inclusivity focused.
We are seeking a motivated intern to join our Industrial Integration team. This role focuses on industrial automation systems, data integration, and enterprise connectivity, offering hands-on experience with SCADA systems, PLCs, and modern communication protocols.
WHAT YOU'LL REVOLUTIONIZE:
- Transform raw industrial data into actionable intelligence using advanced analytics
- Design and implement real-time monitoring solutions using SCADA systems
- Help implement data streaming solutions using Kafka and MQTT
- Develop predictive models for smart manufacturing
- Build innovative solutions connecting shop floor to top floor through SAP integration
- Assist with SAP data management tasks
- Pioneer new approaches to industrial process optimization
- Create stunning visualizations that tell the story behind the data
THE INNOVATIVE MIND WE'RE LOOKING FOR:
Education:
- Rising talent in Data Science, Data Analytics, Computer Engineering, Mechatronics Engineering or related (Graduation Date: December 2025 or Summer 2026)
Basic understanding of Modern Data Science Arsenal:
- Python ecosystem for industrial analytics
- Machine learning fundamentals
- Real-time data processing
- Advanced visualization techniques
Industrial Tech Stack:
- SCADA systems
- PLC communications
- Industry 4.0 concepts
Cutting-edge Integration:
- Apache Kafka
- MQTT protocol
- Modern data architectures
- Industrial IoT platforms
Enterprise Solutions:
- SAP fundamentals
- Industrial databases
- Smart factory concepts
Must-Have Talents:
- Strong English communication skills
- Innovative problem-solving mindset
- Passion for industrial technology
- Quick learning ability
- Data-driven decision making
- Project management skills
- Change management skills
- Team collaboration spirit
WHY THIS ROLE IS UNIQUE:
Key Innovation Areas:
1. Smart Manufacturing Analytics:
- Real-time process optimization
- Predictive maintenance
- Quality analytics
- Energy optimization
- Edge computing
- Real-time monitoring
- Digital twin development
- Event-driven architectures
- Industrial data lakes
- Cloud integration
- Smart factory initiatives
- Digital transformation projects
- Industrial AI applications
Equal Employment Opportunity Statement
Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity 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, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, protected veteran or military status, and other categories protected by federal, state, or local law.
ID: 20603035
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