Data Scientist Smart Metering and Utility Data

3 - 7 years

0 Lacs

Posted:1 week ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As a Data Scientist at our company, your main role will involve transforming raw metering data into actionable insights and delivering high-quality dashboards and analytics to support operational and strategic decision-making across the organization. Key Responsibilities: - Analyze large volumes of smart metering data such as interval consumption, events, read quality, and exceptions from MDM and HES systems. - Identify and interpret consumption patterns, anomalies, and trends to drive actionable insights for business and product teams. - Design and build dashboards, visualizations, and reports using relevant tools. - Collaborate with product managers, operations, and engineering teams to define data requirements and design meaningful analytics views. - Develop rule-based or statistical models for event analytics, billing exceptions, load profiling, and customer segmentation. - Translate complex findings into easy-to-understand business insights and recommendations. - Ensure data consistency, accuracy, and integrity across different systems and reporting layers. - Build automated pipelines to support near real-time and periodic reporting needs. Qualifications Required: - 3+ years of experience working with utilities, energy data, particularly from smart meters. - Ability to independently explore data, validate assumptions, and present clear narratives. - Strong SQL skills and experience working with relational databases and data marts. - Proficiency in data visualization tools. - Solid understanding of smart meter data structure including interval reads, TOU, events, and consumption patterns. - Preferred: Familiarity with MDM, HES, and utility billing systems. - Exposure to AMI events analysis, load curves, and customer behavior analytics. - Knowledge of regulatory requirements, data retention, and data privacy in the energy sector. - Experience working with large-scale datasets and data platforms such as Delta Lake, Apache Airflow, and Apache Spark. If you are passionate about leveraging data to solve complex problems and drive business success, we encourage you to apply for this exciting opportunity as a Data Scientist!,

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