CINCO Engineering
CINCO is a Quality Risk Management solution that helps Life Sciences protect their patients by managing the risks on their manufacturing processes.
2 - 10 employees
💰 $75k Seed Round on 2020-03
Data Scientist
Job not on LinkedIn
November 17
CINCO Engineering
CINCO is a Quality Risk Management solution that helps Life Sciences protect their patients by managing the risks on their manufacturing processes.
2 - 10 employees
💰 $75k Seed Round on 2020-03
📋 Description
• Design and implement data collection, storage, and archiving pipelines to support efficient access and analysis. • Integrate data from multiple sources, including manufacturing equipment, MES, SAP, and other enterprise systems. • Ensure both real-time and historical data are accurately captured and maintained. • Perform exploratory and statistical analysis to identify patterns, correlations, and trends across business and manufacturing data. • Build and deploy predictive and machine learning models to support proactive decision-making and process optimization. • Collaborate with stakeholders to define KPIs and develop dashboards or reports for actionable insights. • Analyze current business and operational processes to identify opportunities for automation and digital transformation. • Design and implement data-driven workflows that streamline operations and enhance efficiency. • Work closely with business process owners, IT, and operations teams to ensure alignment with strategic goals. • Document methodologies, data architecture, and models to support sustainability and handover to internal teams.
🎯 Requirements
• Bachelor’s or master’s degree in data science, Engineering, Computer Science, Statistics, or related field. • 3+ years of professional experience in data science, analytics, or machine learning, preferably in a manufacturing or medical device environment. • Proven experience developing and deploying data pipelines and predictive models. • Proficiency in Python, SQL, and data visualization tools (e.g., Power BI, Tableau). • Familiarity with data platforms (e.g., Azure, AWS, or GCP) and integration of enterprise systems such as MES and SAP. • Strong understanding of industrial, IoT, or equipment-level data. • Excellent communication and problem-solving skills. • Ability to translate complex analytical concepts into actionable business strategies. • Self-driven and capable of working independently within cross-functional teams.
🏖️ Benefits
• N/A
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