Job Description Summary

Job Description

Essential Responsibilities:

• Be part of a data science or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets.
• Support application areas that include remote monitoring and diagnostics and operations optimization of solar and battery energy storage projects.
• Develop analytics to address customer needs and opportunities.
• Work alongside software developers and software engineers to translate algorithms into commercially viable products and services.
• Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
• Perform exploratory and targeted data analyses using descriptive statistics and other methods.
• Work with data engineers on data quality assessment, data cleansing and data analytics
• Apply machine learning algorithms including classification, cluster analysis, time series analysis, forecasting, and Random Forest.

Required Qualifications:

• Bachelor's degree from an accredited university or college in a related (STEM) discipline.
• Minimum of 4 years professional experience.

Desired Characteristics:

• 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 is a plus
• 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
• Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets
• Demonstrated skill at data visualization and storytelling for an audience of stakeholders
• Demonstrated awareness of data management methods
• Demonstrated awareness of real-time analytics development and deployment
• Critical thinking and problem solving methods
• Ability to take ownership of medium sized or incompletely defined tasks
• Strong communication skills with ability to clearly communicate issues and resolution to both a technical and non-technical audience.

Additional Information