Data Scientist
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Key skills for this role
About the Role
AXO is seeking a highly experienced Data Scientist with a Master's or PhD and 13+ years in advanced analytics. The role involves designing and deploying production-grade machine learning models for utility data, smart grids, and AMI infrastructure.
Key Skills for This Role
Responsibilities
- Design, test, fine tune, and deploy production grade machine learning models and complex predictive/prescriptive statistical frameworks to optimize large scale grid utility workflows
- Perform high level predictive analytics on big data streams originating from Advanced Metering Infrastructure (AMI) architectures
- Formulate custom analytical models for advanced anomaly detection, automated tamper alerts, grid load forecasting, and identification of non technical infrastructure losses
- Provide actionable technical insights to streamline the Handshake to HES (Head End System) and MDM (Meter Data Management) information workflows
Requirements
- Master’s degree or PhD in Data Science, Artificial Intelligence, Computer Science, or a highly relevant quantitative discipline
- Professional certification in advanced data science, machine learning, or artificial intelligence with practical deployment records
- Minimum 13+ years of advanced analytics and statistical modeling experience
- Experience with utility data, smart grids, or AMI infrastructure is highly preferred
Full Job Posting
Minimum Eligibility Criteria
- Academic Qualification: Master’s degree or PhD in Data Science, Artificial Intelligence, Computer Science, or a highly relevant quantitative discipline.
- Mandatory Certifications: Professional certification in advanced data science, machine learning, or artificial intelligence with practical deployment records.
- Minimum Experience: Minimum 13+ years of advanced analytics and statistical modeling experience, with a highly strategic preference for utility data, smart grids, or AMI infrastructure.
Duties and Responsibilities
- Design, test, fine tune, and deploy production grade machine learning models and complex predictive/prescriptive statistical frameworks to optimize large scale grid utility workflows.
- Perform high level predictive analytics on big data streams originating from Advanced Metering Infrastructure (AMI) architectures.
- Formulate custom analytical models for advanced anomaly detection, automated tamper alerts, grid load forecasting, and identification of non technical infrastructure losses.
- Provide actionable technical insights to streamline the Handshake to HES (Head End System) and MDM (Meter Data Management) information workflows.
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