Job Description:
Schneider Electric USA, Inc. seeks a Senior Data Scientist in Morrisville, NC.
Job Description: Research, develop and maintain machine learning and statistical models for business requirements. Partner with lines of business to translate business analytic problems into technical solutions and actionable recommendations across the organization. Work across the spectrum of statistical modelling including supervised, unsupervised, and deep learning techniques to apply the right level of solution to the right problem. Build frameworks leveraging APIs to industrialize AI models across the organization. Coordinate with different functional teams to monitor outcomes and refine and improve the machine learning models. Build frameworks leveraging APIs to industrialize AI models across the organization. Collaborate with data and software engineers to enable deployment of models that will scale across the company’s ecosystem. Adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Git, GitHub, Markdown). Position eligible for up to 3 days remote work per week.
Qualifications:
Requirements: Position requires Bachelor’s or Master’s degree, or foreign equivalent, in Computer Science, Statistics, Mathematics, Informatics, Information Systems, Engineering (any) or related occupation, and progressive, post-bachelor’s experience (2 years with Master’s or 4 years with Bachelor’s) in data analysis, engineering, statistical modeling, or related occupation, which must include at least some education or experience in the following skills: Pytorch, Scikit-Learn, Tensorflow, Pandas, SparkML; Development using Python, R, or other equivalent languages; Modeling in supervised, unsupervised, reinforcement and deep learning models; MySQL, Oracle, SQL Server, NoSQL; LSTM Modeling; and Data Visualization.

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€36 billion global revenue
+13% organic growth
150 000+ employees in 100+ countries

1 on the Global 100 World’s most sustainable corporations

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Please refer the Job description for details