Job 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 Essential skill sets candidates must have:
- 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.
Education:
- Master's or PhD in Data Science - College fresh or with one year experience in pharmaceutical experience using Power BI.
Job Type: Contract
Pay: Up to $40.00 per hour
Expected hours: 40 per week
Schedule:
- 8 hour shift
- Day shift
- Monday to Friday
Work Location: In person
