
Data Scientist
7 days ago
**Role Overview**
We are looking for a detail-oriented and business-savvy **Data Scientist** with a strong domain understanding of **smart metering and utility data**. This role is central to 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** (interval consumption, events, read quality, exceptions) from MDM and HES systems.
- Identify and interpret consumption patterns, anomalies, and trends that drive actionable insights for business and product teams.
- Design and build dashboards, visualizations, and reports using 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.
**Skills and Qualifications**
**Must Have**:
- 3+ years of experience working with **utilities**, **energy data**, particularly from smart meters.
- Strong SQL skills and experience working with **relational databases** and data marts.
- Proficiency in **data visualization tools**.
- Solid understanding of smart meter data structure (interval reads, TOU, events, consumption patterns).
- Ability to independently explore data, validate assumptions, and present clear narratives.
**Preferred**:
- Familiarity with **MDM** (Meter Data Management), **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 (e.g., Delta Lake, Apache Airflow, Apache Spark).
Pay: ₹1,200,000.00 - ₹1,500,000.00 per year
Schedule:
- Day shift
Work Location: In person
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