Responsibilities related to data science and machine learning in a manufacturing context. Key tasks include collaborating with cross-functional teams to create impactful data solutions, analyzing large datasets to enhance business metrics, designing and implementing machine learning models, developing scalable computer vision solutions, and maintaining web applications for data initiatives. Additionally, it involves interpreting data insights, communicating findings to stakeholders, and delivering presentations with visualized data and business conclusions.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
- Collaborate with cross-functional teams to develop high-impact data science solutions that improve productivity and operations metrics
- Analyze large-scale data and develop machine learning/AI models to drive business value and improve KPIs
- Design, prototype, and implement machine learning models and algorithms to solve specific Manufacturing problems
- Researching and developing scalable computer vision and machine learning solutions for complex problems
- Create and maintain web applications to support data science initiatives and facilitate data-driven decision making
- Interpret actionable insights from data and metadata sources, communicating findings to stakeholders for product improvement
- Prepare and deliver presentations with data visualizations and business conclusions