What are the responsibilities and job description for the Data Engineer position at Amiseq Inc.?
Job Details
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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