Senior Data Scientist - Remote

Overview

Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.

In Short

• Lead the design and development of advanced time series forecasting models for industrial operations and equipment.
• Analyze large-scale sensor data, SCADA systems, and historical logs to extract actionable insights.
• Develop and maintain robust statistical and machine learning models with a focus on scalability, cloud performance, and reproducibility.
• Build and optimize ETL pipelines using tools like Apache Airflow, integrating data from diverse sources into cloud data lakes (e.g., AWS S3, Azure Data Lake Gen2).
• Collaborate with cross-functional teams including data engineers, domain experts, and business stakeholders.
• Develop dashboards and visualizations using Power BI, Tableau, and SQL for business-facing reporting.
• Work with APIs to integrate data services and models into enterprise systems.
• Apply data modeling and model performance tuning best practices in a production-grade environment.
• Use Git/GitHub for version control, CI/CD integration, and collaborative workflows.

Requirements

• Master’s or Ph.D. in Statistics, Data Science, Computer Science, Applied Mathematics, or related field.
• 5+ years of experience in Data Science, with at least 2 years in oil & gas, energy, or industrial sectors.
• Hands-on experience with time series forecasting, anomaly detection, and signal processing.
• Proficiency in Python and data science libraries (NumPy, Pandas, scikit-learn, TensorFlow or PyTorch).
• Strong experience with SQL, cloud platforms (AWS, Azure, or GCP), and big data tools (e.g., Spark).
• Experience working in ETL pipelines, cloud data storage, and data lake architectures.

Benefits

• Equal opportunity employer.