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Schneider Electric

Global energy management and automation provider

Data Scientist - Technology Evaluation

Applied Machine LearningUpdated on Nov 11
Full-timeAndover, MA, USAIn-person

About the Job

Requirements

  • A master's degree or higher in Computer Science, Artificial Intelligence, Machine Learning, or a related field is required.
  • At least 2–3 years of technical experience in AI, ideally as a Research Engineer, Applied Scientist, Machine Learning Engineer, or similar role in an AI startup, technology company, or research lab.
  • Strong hands-on experience with modern AI technologies and ecosystems, including the ability to rapidly prototype, test, and compare emerging approaches.
  • Ability to understand research literature and engage credibly with technical experts.
  • Technical depth sufficient to independently validate claims and challenge vendors.
  • Existing involvement in the AI ecosystem through conferences, open-source communities, research collaborations, or professional networks.
  • Ability to build external relationships and networks across AI labs, startups, open-source communities, and industry experts.
  • Strong oral and written communication skills.
  • Capacity for strategic analysis and synthesis, translating complex topics into meaningful recommendations.
  • Independent judgment and the ability to form evidence-based opinions.
  • Comfort operating with ambiguity and incomplete information.

Responsibilities

  • Track AI models, tools, paradigms, startups, and research directions.
  • Engage through conferences, workshops, technical communities, and informal networks, distinguishing genuine shifts from hype.
  • Develop relationships across AI labs, startups, open-source communities, and industry experts, gathering insights beyond public announcements.
  • Represent Schneider Electric in the broader AI ecosystem.
  • Rapidly assess new technologies, products, and startup claims through hands-on experimentation, and produce clear opinions on what works, what does not, and why.
  • Work closely with Strategy & Innovation leaders to develop positions on emerging AI topics.
  • Analyze competitor announcements and their implications for Schneider Electric.
  • Share insights through concise briefings, demos, and strategic memos.
  • Maintain a living view of technologies to watch, evaluate, adopt, or avoid.

Desired Qualifications

  • Experience as a Research Engineer, Applied Scientist, Machine Learning Engineer, or similar role in an AI startup, technology company, or research lab is preferred.

About the Company

Schneider Electric

Global energy management and automation provider

Schneider Electric is a global specialist in energy management and automation. It helps homes, businesses, and industries run electricity more efficiently by selling electrical products, automation hardware, software, and related services. Its offerings cover electrification, automation, and digitization, and solutions connect devices, collect data, and control systems to optimize energy use in smart industries, resilient infrastructure, and data centers. The company distinguishes itself with a broad, end-to-end portfolio and a worldwide presence in over 100 countries, combining hardware, software, and services to address sustainability and reliability. Its goal is to help people and organizations use energy more efficiently, reduce environmental impact, and improve uptime and reliability.

Company size
10,001+
Company stage
IPO
Headquarters
Rueil-Malmaison, France
Founded
1836

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