Data Scientist

• Expert-level experience with time series analysis, including working with sequential/temporal data, identifying trends and seasonality, detecting anomalies, and building forecasting/predictive models (ARIMA, Prophet, LSTM, or similar) for real-world applications such as predictive maintenance
• Strong hands-on experience building and applying machine learning models across multiple techniques, with a solid foundation in statistics and data science principles
• Proven ability to translate complex data science concepts into clear, practical insights for business stakeholders, balancing both technical depth and business context
• Excellent communication skills, both verbal and written, with the ability to present findings clearly and confidently
• Proficiency in Python (and/or PySpark) for data analysis and model development
• Experience working in cloud environments such as Azure (preferred), AWS, or Databricks; familiarity with Microsoft Fabric is a plus

Insight Global is searching for a highly skilled Data Scientist to sit in Houston for one of its largest oil & gas compression services clients in Houston, TX. This person will be responsible for building and optimizing advanced machine learning models focused on predictive maintenance, with a strong emphasis on time series data analysis. They will leverage Python/PySpark in environments such as Microsoft Azure/Fabric, Jupyter Notebooks, and VS Code to develop and refine models, while also working closely with business stakeholders to translate complex statistical concepts and model outputs into clear, actionable insights. The ideal candidate will have a deep understanding of machine learning and deep learning techniques, strong communication skills, and the ability to explain the "why" behind their work in a simplified way to non-technical audiences. This position will be at least 3 days a week onsite in City Centre in Houston.