Senior Data Scientist

3 days ago


Schenectady, New York, United States GE Vernova Full time

Job Summary:

As a Lead Data Scientist at GE Vernova, you will be responsible for developing AI/ML algorithms to support predictive maintenance strategies for solar and battery energy storage plants. You will work with cross-disciplinary teams to develop and deploy modern machine learning, operational research, and statistical methods for finding structure in large data sets.

Key Responsibilities:

  • Develop analytics to address customer needs and opportunities
  • Work alongside software developers and engineers to translate algorithms into commercially viable products and services
  • Perform exploratory and targeted data analyses using descriptive statistics and other methods
  • Apply machine learning algorithms including classification, cluster analysis, time series analysis, forecasting, and Random Forest

Requirements:

  • Bachelor's degree from an accredited university or college in a related (STEM) discipline
  • Minimum of 4 years professional experience
  • Demonstrated skill in the use of one or more analytic software tools or languages (e.g., R, Python)
  • Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment

Preferred Qualifications:

  • Experience developing and deploying AI/ML based solutions in an industrial domain
  • Masters' degree from an accredited university or college in a related (STEM) discipline
  • Experience in asset performance management of industrial assets along with strong Services process knowledge & power industry domain knowledge

Additional Information:

GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. We are an Equal Opportunity Employer and welcome applications from diverse candidates.


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