Senior Data Scientist with AI/ML

Introduction:

We are looking for a Senior Data Scientist to help build advanced analytics, machine learning, and AI solutions for manufacturing operations. The ideal candidate will focus on using manufacturing factory data to detect anomalies, improve quality, reduce downtime, optimize throughput, and support reusable data models that connect fragmented manufacturing systems into a common intelligence layer.

Responsibilities:

• Develop machine learning and statistical models to support manufacturing use cases such as anomaly detection, quality prediction, equipment health, process monitoring, throughput improvement, and decision support.
• Apply supervised, unsupervised, and semi-supervised learning methods, including classification, regression, clustering, anomaly detection, time-series analysis, statistical process control, and model explainability.
• Build anomaly detection solutions using methods such as control limits, isolation forests, clustering, Mahalanobis distance, autoencoders, time-series models, and supervised classification where labeled defects are available.
• Develop models for manufacturing use cases such as assembly issues, predictive maintenance, bottleneck detection, process optimization, and quality prediction.

Requirements:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Industrial Engineering, Mechanical Engineering, Manufacturing Engineering, Operations Research, Applied Mathematics, or a related technical field.
• 6+ years of experience applying data science, machine learning, statistical modeling, optimization, or advanced analytics in a professional environment.
• Strong Python skills.
• Strong SQL skills and experience working with large, complex datasets.
• Experience with supervised and unsupervised machine learning methods.
• Experience working with cloud-based data and analytics platforms such as Databricks.
• Ability to communicate technical findings clearly to plant teams, engineers, leaders, and non-technical stakeholders.