Data Science Intern at MetOx International in Houston, TX

Summary: MetOx International is pioneering the next era of energy security through superconducting technology. As a Data Science Intern, you will support data-driven decision-making by collecting, analyzing, and interpreting complex data sets to enhance production processes and optimize resource allocation. Responsibilities: - Assists in gathering, cleaning, and preprocessing data from multiple sources including relational databases, process historians, sensors, and operational systems to ensure data accuracy and completeness - Assists in conducting exploratory data analysis (EDA) to identify patterns, trends, and relationships within production and operational data - Assists in troubleshooting data retrieval issues, including network connectivity errors, permission issues, and data access failures from industrial and enterprise data sources - Supports data ingestion from industrial protocols such as MQTT and OPC-UA, including basic understanding of how these protocols communicate process and sensor data - Assists in developing and implementing statistical and machine learning models to solve operational challenges such as predictive maintenance, anomaly detection, and process optimization - Supports the application of AI tools and techniques including generative AI and large language models (LLMs) to accelerate data analysis, automate reporting, and surface insights from complex process datasets - Collaborates with engineering and production teams to deploy data-driven solutions that improve efficiency and quality - Creates data visualizations and dashboards to communicate insights and findings to non-technical stakeholders - Prepares reports summarizing data analysis results, with clear recommendations based on data insights - Works with cross-functional teams to understand business needs and translate them into data science objectives - Stays current with industry trends, tools, and best practices in data science, AI, and industrial data systems to enhance personal and team capabilities - Other duties as assigned Required Qualifications: - Prior exposure to data science, data engineering, or a related field through coursework, personal projects - Actively enrolled in a bachelor's degree in data science, statistics, computer science, engineering, or a related field at an accredited university - Basic understanding of networking concepts, including TCP/IP, DNS, HTTP/S, and general connectivity troubleshooting - Basic familiarity with relational databases such as PostgreSQL or MySQL, including writing simple queries (SELECT, JOIN, WHERE) - Awareness of AI concepts and how they can be applied to data science and analytics workflows - Proficiency or strong working knowledge of programming languages commonly used in data science (Python or R) - Familiarity with data visualization concepts and data processing libraries (Pandas, NumPy) - Basic understanding of machine learning techniques and model evaluation methods - Awareness of AI and generative AI tools and how they can be applied to data science and operational analytics - Basic knowledge of relational databases (PostgreSQL, MySQL) and the ability to write and interpret SQL queries - Understanding of industrial data protocols such as MQTT and OPC-UA and how they are used to transmit process and sensor data - Ability to independently troubleshoot basic data access issues, including network connectivity, database permissions, and protocol configuration - Analytical mindset with strong problem-solving skills - 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 Preferred Qualifications: - Actively enrolled in a master's degree in data science, statistics, computer science, engineering, or a related field - Previous internship or relevant work experience - Experience with industrial communication protocols such as MQTT or OPC-UA - Familiarity with time-series data analysis and process historian platforms (e.g., OSIsoft PI, InfluxDB) - Exposure to SCADA systems or industrial IoT environments - Hands-on experience with PostgreSQL, MySQL, or other relational/time-series database platforms Required Skills: Data analysis, Machine learning, Python Important Skills: SQL, Data visualization, Relational databases, AI concepts