
Optimize Business Operations
2 weeks ago
About the Role:
This is a challenging and rewarding role that involves working with data to drive business decisions. As a Data Scientist, you will be responsible for performing data engineering, data modeling, or model deployment.
Key Responsibilities:
- Lead initiatives that apply AI to optimize manufacturing workflows, reduce downtime, and improve product quality
- Design and deploy intelligent automation solutions that enable continuous improvement across operations
- Integrate commercial AI tools, platforms, and models for scalable deployment
- Champion best practices in model monitoring, retraining, and lifecycle management
- Analyze production data from MES, SCADA, and sensor systems to uncover actionable insights
- Build and maintain robust data pipelines using Snowflake and other cloud native services to support model development and analytics
- Collaborate with cross-functional teams to translate operational challenges into data-driven strategies
- Develop visualizations and dashboards that empower teams to make informed decisions
Required Skills and Qualifications:
- Familiarity with AI platforms such as Azure ML and practical deployment workflows
- Exposure to industrial data systems (MES, SCADA, PLCs) and IoT architectures
- Familiarity with MLOps practices and model governance
- Understanding of lean manufacturing, Six Sigma, or process control methodologies
- Visualization experience with Power BI, Qlik Sense, or similar tools
- Experience with Databricks for scalable model training and orchestration
Benefits:
We offer a competitive compensation package, comprehensive benefits, and opportunities for growth and development. We are an equal opportunity employer and welcome applications from diverse candidates. We require an undergraduate degree in STEM and 1+ years of related experience, with a master's degree in STEM preferred.
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