Data Scientist

Spectrum Talent Management; Chennai District, Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Spectrum Talent Management is seeking a data analytics professional to collaborate with operations, understand data sources (ERP, production logs, quality data, sensors) and build analytical solutions for manufacturing improvements.

You will extract and clean data, perform exploratory analyses, develop predictive models using Python/R and SQL, and create dashboards to support decision-making across the organization.

Responsibilities

• Collaborate with operations teams to understand data sources including ERP systems, production logs, quality data, and equipment sensors.
• Extract, clean, validate, and consolidate data from multiple sources for analysis.
• Perform exploratory data analysis to identify patterns, anomalies, and opportunities for manufacturing yield improvement.
• Build analytical and statistical models to identify factors impacting quality, efficiency, and operational performance.
• Apply data science techniques such as regression, classification, trend analysis, and predictive modeling using Python/R and SQL.
• Partner with manufacturing leadership to define business problems and translate them into analytical solutions.
• Develop dashboards and visualizations using Power BI, Tableau, or similar tools to support decision-making.
• Present analytical insights and recommendations to business stakeholders with a focus on measurable impact.
• Build predictive models for equipment maintenance, quality prediction, and process optimization.
• Work closely with IT teams to establish robust data pipelines and reporting frameworks.
• Develop standardized approaches for data extraction, data quality management, and analytics.
• Document methodologies, models, and analytical processes while ensuring maintainability and scalability.
• Identify data gaps and recommend improvements to data collection and operational reporting systems.
• Conduct knowledge-sharing sessions and training programs to promote data-driven decision-making across the organization.

Job description

Role & responsibilities

• Collaborate with operations teams to understand data sources including ERP systems, production logs, quality data, and equipment sensors.
• Extract, clean, validate, and consolidate data from multiple sources for analysis.
• Perform exploratory data analysis to identify patterns, anomalies, and opportunities for manufacturing yield improvement.
• Build analytical and statistical models to identify factors impacting quality, efficiency, and operational performance.
• Apply data science techniques such as regression, classification, trend analysis, and predictive modeling using Python/R and SQL.
• Partner with manufacturing leadership to define business problems and translate them into analytical solutions.
• Develop dashboards and visualizations using Power BI, Tableau, or similar tools to support decision-making.
• Present analytical insights and recommendations to business stakeholders with a focus on measurable impact.
• Build predictive models for equipment maintenance, quality prediction, and process optimization.
• Work closely with IT teams to establish robust data pipelines and reporting frameworks.
• Develop standardized approaches for data extraction, data quality management, and analytics.
• Document methodologies, models, and analytical processes while ensuring maintainability and scalability.
• Identify data gaps and recommend improvements to data collection and operational reporting systems.
• Conduct knowledge-sharing sessions and training programs to promote data-driven decision-making across the organization.