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Schneider Electric

Global energy management and automation provider

Data Science Engineer - System.AI

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeAndover, MA, USA

About the Job

Requirements

  • A master's degree or equivalent in Data Science or a related field is required.
  • Five years of experience in data engineering within an industrial, machine learning, or Azure environment is required; experience may be pre- or post-master's degree but must be post-bachelor's degree.
  • Academic background, internship, or work experience must include programming in Python, SQL, or R.
  • Experience must include supervised and unsupervised learning, classification models, cluster analysis, neural networks, and fuzzy logic.
  • Experience must include DataBricks or Snowflake data platforms.
  • Experience must include statistical analysis using TensorFlow, machine learning models, and data mining.
  • Experience with Git or Jira is required.
  • Experience must include industrial asset model creation and management, and use of industrial applications and services.

Responsibilities

  • Contribute to data science engineering for System.AI, a Global ETO Service Center of Excellence delivering system-level predictive outcomes.
  • Develop, adapt, and deploy System.AI and EcoCare analytics for condition-based maintenance services.
  • Stack solutions using platforms suited to specific client requirements.
  • Work with subject matter experts and labeled client datasets to develop insights that support risk management and condition-based maintenance.
  • Minimize interventions, optimize interventions, and optimize client service-level agreements.
  • Liaise with key clients to design and optimize service solutions, integrate them within existing environments, and optimize existing infrastructure.
  • Recommend and deploy enhancements to cloud solutions.
  • Recommend and develop instrumentation and edge-solution enhancements to improve analytic outcomes.
  • Enhance knowledge of existing Schneider Electric solutions and assist in developing broader Schneider Electric Edge solutions.
  • Support data engineering, data cleansing, and normalization for industrial time series, alerts, and alarms.
  • Contribute to analytic development through model definition and development, as well as use-case definition.

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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