Senior Data Scientist - Python

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