Senior Data Scientist

1 week ago

Bengaluru, India s3b global Full time

Role Overview : We are seeking a Senior Data Scientist with strong hands-on experience in manufacturing analytics and machine learning applications within a plant or production environment.The ideal candidate will possess a strong understanding of the manufacturing domain, preferably from the alcoholic beverage industry or similar process manufacturing sectors, and will be skilled in building data-driven solutions to optimize production, improve yield, reduce downtime, and enhance overall operational efficiency.Experience Range : 6 to 10 years of relevant experience in Data Science, with a focus on Manufacturing or Industrial domains.Key Responsibilities : - Collaborate with plant operations, process engineers, and quality teams to identify opportunities for data-driven improvement.- Develop and deploy machine learning and statistical models to support predictive maintenance, process optimization, quality control, and energy efficiency.- Analyze sensor, IoT, and process control data to identify patterns and anomalies impacting production performance.- Build end-to-end data pipelines using Python, SQL, and cloud or on-prem data platforms.- Conduct root cause analysis and implement actionable insights to improve manufacturing KPIs such as throughput, yield, waste, and downtime.- Create dashboards and visualizations for real-time plant analytics and decision support.- Work cross-functionally with IT, manufacturing, and business stakeholders to integrate AI/ML solutions into production workflows.- Ensure data integrity, consistency, and governance across manufacturing data sources.- Mentor junior data scientists and collaborate with data engineers for model deployment and monitoring.Must Have Skills : - Python (expert), NumPy, Pandas, Scikit-learn- Regression, Classification, Clustering, Time Series Forecasting, Anomaly Detection- Process optimization, SPC (Statistical Process Control), OEE analysis, Root cause analysis- Hands-on understanding of plant operations, manufacturing KPIs, and production systems- SQL, ETL, data wrangling from sensors and MES/SCADA systems- Power BI, Tableau, or equivalent (ref:hirist.tech)

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