Please apply on LinkedIn and/or Send your resume directly to: request@tytantech.com

Tytan Technology is hiring a Senior Data Scientist with strong Oil & Gas domain experience to support analytics, modeling, and data-driven decision-making for upstream and midstream operations. The ideal candidate combines deep functional knowledge of O&G workflows with hands-on expertise in statistical modeling, machine learning, and scalable data solutions.

Responsibilities

Analyze production, drilling, reservoir, maintenance, and sensor/SCADA data
Build predictive and prescriptive models for O&G use cases such as production forecasting, asset performance, failure prediction, and operational optimization
Apply statistical methods, ML techniques, and feature engineering to real-world O&G datasets
Conduct exploratory data analysis and present insights to engineering and operations teams
Partner with data engineers to design data pipelines and improve data quality
Deploy models and support continuous monitoring and refinement
Work with cross-functional teams including petroleum engineers, reliability teams, and operations
Prepare clear visualizations, reports, and presentations for technical and non-technical audiences
Support client engagements, scoping, solution development, and delivery
Mentor junior data scientists and contribute to best practices

Requirements

6–12+ years of hands-on experience in Data Science or Advanced Analytics
Minimum 4+ years working directly in Oil & Gas (upstream, midstream, or operations)
Strong proficiency in Python, Pandas, NumPy, SciKit-Learn, and ML frameworks
Solid foundation in statistics, time-series analysis, and predictive modeling
Experience working with production, drilling, well logs, SCADA/PI data, or reservoir datasets
Understanding of oilfield workflows, KPIs, equipment behavior, and operational challenges
Experience with SQL and cloud environments (Azure or AWS preferred)
Familiarity with visualization tools like Power BI or Spotfire
Bachelor’s or Master’s degree in Data Science, Engineering, Geoscience, or a related field

Tytan Technology Inc.

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