Data Engineer
Job Responsibilities:
- 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
Skills:
- Must be certified with Power BI Fabric.
- 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 a 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.
Education/Experience:
- Minimum Master's in Data Science and Compute Science - Graduate in recent years
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