Data Scientist I

MetOx International, Inc.•Houston, TX

5h•Onsite

About The Position

Empower Your Future: At MetOx International, we’re pioneering the next era of energy security and abundance through breakthrough superconducting technology. As a Data Scientist I, you’ll join a dynamic team committed to strengthening the world’s energy systems to make them more resilient, efficient, and reliable. This position is based at our global headquarters in Houston, TX.

Requirements

Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field.
Prior experience in data science, data engineering, or relevant field in a co-op, intern, or professional environment.
Python and SQL proficiency; experience with industrial data pipelines
Strong problem-solving skills with manufacturing or process control applications
Ability to communicate technical findings to operations and engineering stakeholders
Analytical mindset with strong problem-solving skills.

Nice To Haves

Master’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field.
Machine learning frameworks (PyTorch, TensorFlow, YOLO) and edge deployment
Hands-on mindset for factory floor problem-solving and continuous improvement
Familiarity with data visualization concepts and data processing libraries (Pandas, NumPy).
Basic understanding of machine learning techniques and model evaluation methods.
TCP/IP networking fundamentals and practical troubleshooting skills (ping, traceroute, port connectivity)
Database management and connectivity (MariaDB, MySQL, or similar) including client configuration and query optimization
Excellent communication skills, with the ability to explain technical findings to non-technical stakeholders.
Detail-oriented and proactive, with a desire to learn and grow in the field of data science.

Responsibilities

Manufacturing Data & Process Analytics
Integrate and analyze time-series data from PLCs, sensors, and metrology equipment to ensure data accuracy and support statistical process control (SPC)
Build EDA pipelines to identify process trends, equipment anomalies, and quality patterns in production and operational data
Machine Learning for Industrial Operations
Develop and deploy ML models for predictive maintenance, process optimization, and quality control (defect detection, classification)
Implement edge AI solutions on embedded platforms (NVIDIA Jetson, ESP32) for real-time inference in production environments.
Reporting & Operations Intelligence
Create dashboards and automated reports for engineering, operations, and quality teams to drive data-informed decision-making.
Design root cause analysis frameworks that translate complex manufacturing data into actionable insights
Cross-Functional Integration
Collaborate with controls engineers, process engineers, and operations to translate production challenges into data solutions
Integrate with MES, SCADA, and industrial communication protocols (MQTT, OPC-UA)