- North Bridge Road Downtown Core Central Region (Singapore) Singapore
Kerja Sepenuh Masa Data Scientist, Gaji tinggi SGD 11,000 di UNISYNC SYSTEMS PTE. LTD. Central Region (Singapore) - Maukerja
Kongsi
Simpan
Lokasi Kerja
Penerangan Kerja
Tanggungjawab
Job Summary
Analyze manufacturing plant and process data to deliver data-driven solutions that optimize operations. Develop and deploy machine learning models using Seeq and
Python
, collaborating with cross-functional teams to improve predictive maintenance, process efficiency, and quality outcomes.
Responsibilities
Analyze manufacturing plant and process data to identify patterns, anomalies, and optimization opportunities
Perform time-series analysis, root cause investigation, and process monitoring using the Seeq platform (Workbench and Data Lab)
Develop and deploy machine learning models for predictive maintenance, process efficiency improvement, and quality/yield optimization
Collaborate with plant, engineering, and operations teams to translate business challenges into data science solutions
Build and maintain data pipelines, analytical datasets, and workflows to support operational analytics
Monitor, evaluate, and continuously improve model performance in production environments
Present actionable insights through dashboards, reports, and stakeholder discussions to drive informed decision-making
Ensure data quality, reliability, and governance across manufacturing data sources
Promote adoption of data-driven decision-making across plant operations
Preferred competencies and qualifications
Experience in industries such as Oil & Gas, Chemicals, and Manufacturing
Knowledge of MLOps including model deployment, monitoring, and pipeline management
Exposure to optimization techniques for industrial processes
Familiarity with cloud platforms such as Azure, AWS, or GCP
Experience with data visualization tools, real-time/streaming data analytics, and data engineering (ETL, data pipelines, data lakes)
Analyze manufacturing plant and process data to deliver data-driven solutions that optimize operations. Develop and deploy machine learning models using Seeq and
Python
, collaborating with cross-functional teams to improve predictive maintenance, process efficiency, and quality outcomes.
Responsibilities
Analyze manufacturing plant and process data to identify patterns, anomalies, and optimization opportunities
Perform time-series analysis, root cause investigation, and process monitoring using the Seeq platform (Workbench and Data Lab)
Develop and deploy machine learning models for predictive maintenance, process efficiency improvement, and quality/yield optimization
Collaborate with plant, engineering, and operations teams to translate business challenges into data science solutions
Build and maintain data pipelines, analytical datasets, and workflows to support operational analytics
Monitor, evaluate, and continuously improve model performance in production environments
Present actionable insights through dashboards, reports, and stakeholder discussions to drive informed decision-making
Ensure data quality, reliability, and governance across manufacturing data sources
Promote adoption of data-driven decision-making across plant operations
Preferred competencies and qualifications
Experience in industries such as Oil & Gas, Chemicals, and Manufacturing
Knowledge of MLOps including model deployment, monitoring, and pipeline management
Exposure to optimization techniques for industrial processes
Familiarity with cloud platforms such as Azure, AWS, or GCP
Experience with data visualization tools, real-time/streaming data analytics, and data engineering (ETL, data pipelines, data lakes)
Peringatan Penting
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