Reports to: Principal Researcher & Centre Head, Centre for Advanced Research in Building Science and Energy (CARBSE)
About CARBSE
The Centre for Advanced Research in Building Science and Energy (CARBSE) aims to advance research and development in energy and habitat initiatives. We leverage building science principles to address current and future challenges faced by our communities and cities. Our multidisciplinary efforts focus on providing scientifically validated insights for policymaking, supporting and developing design and technology, and facilitating knowledge exchange to enhance human capacity.
Minimum Eligibility Criteria
- To be eligible to apply, candidates must hold a Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Information Technology or a related field.
- Candidates holding a Bachelors degree should have at least 3 years of relevant experience.
Roles and Responsibilities
- Process, manage and analyse large streams of time-series data generated from field sensors, environmental monitoring systems, HVAC,
lighting systems and other building performance and urban climate monitoring infrastructure.
- Develop predictive models to optimize energy consumption, forecast peak demand loads and support data-driven decision-making for building performance and environmental research.
- Develop and implement anomaly detection algorithms to identify equipment faults, system inefficiencies and operational anomalies before failures occur.
- Undertake independent scientific data analysis and scientific writing to support technical reports, research publications, analytical outputs and project deliverables in collaboration with multidisciplinary research teams.
- Proficiency in Python or R for advanced statistical analysis and machine learning is essential. Knowledge of SQL and time-series databases such as InfluxDB and TimescaleDB is required. Experience with Spark, Hadoop or cloud-based data platforms will be an added advantage.
Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 Data Scientist (Ahmedabad)
🏢 CEPT Research and Development Foundation
📍 Ahmedabad
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