Data Engineer
Description:
• Data Analysis: Analyze large datasets from manufacturing processes to derive actionable insights.
• Predictive Modeling: Develop and implement predictive models to define process performance.
• Collaboration: Work closely with cross-functional teams, including chemists, engineers, etc., to support data-driven decision-making.
• Machine Learning: Apply machine learning algorithms to optimize process development and manufacturing processes.
• Data Visualization: Create visualizations to communicate findings to stakeholders and support strategic planning.
Core Skills:
• Must have Power BI Fabric Certification.
• Must have experience using Power BI creating models and dashboards. (Power BI fabrics & semantic models.)
• Must have PL300 & Python certifications.
• Must have experience using Power BI in Pharmaceutical Industry. (The worker must have good understanding of the Pharmaceutical industry.)
• Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks like TensorFlow or PyTorch.
• Master's or PhD in Data Science - College fresh or with one year experience in Pharmaceutical experience using Power BI.
Description:
• Data Analysis: Analyze large datasets from manufacturing processes to derive actionable insights.
• Predictive Modeling: Develop and implement predictive models to define process performance.
• Collaboration: Work closely with cross-functional teams, including chemists, engineers, etc., to support data-driven decision-making.
• Machine Learning: Apply machine learning algorithms to optimize process development and manufacturing processes.
• Data Visualization: Create visualizations to communicate findings to stakeholders and support strategic planning.
Core Skills:
• Must have Power BI Fabric Certification.
• Must have experience using Power BI creating models and dashboards. (Power BI fabrics & semantic models.)
• Must have PL300 & Python certifications.
• Must have experience using Power BI in Pharmaceutical Industry. (The worker must have good understanding of the Pharmaceutical industry.)
• Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks like TensorFlow or PyTorch.
• Master's or PhD in Data Science - College fresh or with one year experience in Pharmaceutical experience using Power BI.
