Senior Data Scientist — AI for Manufacturing Operations

Experis Technology Group; Austin (TX); On-site; USD 124,000 - 138,000; Full time

Job summary

Experis Technology Group is seeking a Senior Data Scientist — Manufacturing Operations for a client in Austin, TX. You will analyze factory and industrial data to identify process anomalies and predict issues, and collaborate with production teams to optimize operations.

The role emphasizes building ML models, feature engineering from sensor data, and communicating actionable insights to stakeholders in a dynamic manufacturing environment.

Qualifications

• 8-10+ years of applied experience in data science within operational or industrial environments.
• Proficiency in Python and SQL with demonstrated experience working with large, complex datasets.
• Strong background in building and defending models such as classification, regression, clustering, anomaly detection, or time series analysis.
• Experience creating features from sensor, machine, quality, or operational data in manufacturing or similar sectors.
• Ability to quickly learn unfamiliar plant processes and communicate technical insights effectively.

Responsibilities

• Analyze factory and industrial data to identify process anomalies and predict potential issues before they occur.
• Build and validate statistical and machine learning models for process monitoring, quality prediction, and equipment health assessment.
• Collaborate with manufacturing, quality, maintenance, and data engineering teams to develop actionable insights.
• Clean, explore, and join fragmented operational datasets, transforming messy signals into meaningful features.
• Communicate findings clearly to stakeholders, providing explanations, thresholds, and recommended actions based on model outputs.

Skills

Python

SQL

Statistical modeling

Machine learning

Time series

Anomaly detection

Job description

Experis Technology Group is seeking a Senior Data Scientist — Manufacturing Operations for a client in Austin, TX. You will analyze factory and industrial data to identify process anomalies and predict issues, and collaborate with production teams to optimize operations.

The role emphasizes building ML models, feature engineering from sensor data, and communicating actionable insights to stakeholders in a dynamic manufacturing environment.