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Mid-level role in metro with popular Data Scientist title but domain-specific skills narrow applicant pool.
Requires wind-energy R&D and condition-monitoring domain knowledge, making industry crossover difficult.
Explicit 5-7 years, mandatory tools (Dataiku, Power BI) and sector experience imply strict screening.
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Develop and manage data science models and product offerings for Condition Monitoring System (CMS) data within Plant Monitoring & Reliability solutions.
Perform statistical and root cause analysis to identify and resolve turbine and plant performance issues, translating findings into actionable business recommendations.
Maintain and evolve Power BI dashboards and data pipelines ensuring scalability, automation, and alignment with operational priorities, while integrating AI and advanced analytics to enhance performance analytics workflows.
Bachelor's, Master's, or PhD in Computer Science, Data Science, Statistics, Mathematics, STEM or similar specialization.
5-7 years of work experience in data science, data analytics, or related roles, preferably in engineering, R&D, or operational environments.
Proficient in Python, SQL or R; Power BI for dashboard management; Dataiku or similar analytics platforms for data preparation and modeling.
Primary workplace located in Chennai, India.
Experienced in performance analytics with strong ability to link data insights to business value and operational performance improvement.
Demonstrates ownership of complex analytics projects including design, maintenance, and continuous improvement of data workflows and dashboards.
Skilled in cross-system data integration and applying AI-driven analytical approaches to enhance scalable decision support in engineering or R&D contexts.