Data Scientist Entry

As a Data Scientist at Archrock, you will play a crucial role in driving efficiency, reliability, and optimization within our fleet operations through the application of advanced machine learning techniques and data-driven insights.

Responsibilities

• Machine Learning Development: You will be responsible for executing machine learning projects aimed at optimizing fleet runtime, enhancing reliability, predicting and preventing failures, and planning maintenance activities efficiently.
• Data Analysis and Insight Generation: Utilizing large datasets from various sources, you will analyze data to identify patterns, trends, and opportunities for operational improvements within our gas compressor fleet.
• IT Infrastructure Maintenance and Optimization: You will contribute to the design, maintenance, and optimization of IT infrastructure systems that support the machine learning capabilities, ensuring seamless and efficient data processing.
• Continuous Improvement: A proactive approach to continuous improvement will be essential, as you actively seek opportunities to enhance existing processes, models, and algorithms for better performance and results.
• Personal Development: You will be expected to stay abreast of the latest developments in data science, machine learning, and relevant technologies. Seeking out personal development opportunities and acquiring new skills will be encouraged to maintain a cutting-edge approach.
• Non-Essential Duties: Performs other duties as assigned.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
• Proven experience in executing machine learning projects and applying data science techniques to real-world challenges.
• Proficiency in programming languages such as Python, R, or similar, and experience with machine learning libraries (e.g., TensorFlow, Scikit-learn, etc.).
• Strong analytical skills with the ability to extract meaningful insights from complex datasets.
• Solid understanding of statistical analysis, predictive modeling, and data visualization.
• Experience in designing and optimizing IT infrastructure to support machine learning workflows, including SQL database schemas.
• Knowledge of gas compressor fleet operations, the oil and gas industry, or related fields will be advantageous.
• Excellent interpersonal skills including the ability to work as part of a team.
• Physical requirements include ability to wear personal protective equipment (PPE) such as respirators and respond to alarms.
• 10-15% travel may be required.