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Drilling Data Scientist

intellicess inc. • United State
Visa Sponsorship
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Develop and validate machine learning and physics-based models for real-time drilling event detection and optimization using high-frequency rig data. Build data quality pipelines and prototype LLM-powered features for natural language interfaces and automated reporting. Partner directly with a leading land drilling contractor on a high-visibility pilot to analyze data and define success metrics.

Key Highlights
Work on a high-visibility pilot with a leading land drilling contractor
Combine machine learning with physics-based reasoning for drilling optimization
Design and prototype LLM-powered features and agentic workflows
Key Responsibilities
Analyze high-frequency real-time and historical drilling data to find patterns, dysfunctions, and performance opportunities
Build and maintain data quality pipelines that clean, validate, and impute drilling data
Develop and validate models for event detection, performance benchmarking, and drilling optimization
Apply signal processing techniques to noisy time-series data
Design and prototype LLM-powered features such as natural-language interfaces and automated reporting
Work closely with the drilling and technology teams of a leading land drilling contractor on a pilot
Support other customer pilots and field deployments by analyzing results and tuning models
Write clean, tested, production-quality Python
Contribute to technical publications and conference presentations
Technical Skills Required
Python Machine Learning Signal Processing
Benefits & Perks
Competitive salary
Equity
Health benefits
H-1B visa sponsorship
Nice to Have
Master’s degree or PhD in a related field
Experience with Bayesian Networks, probabilistic modeling, or uncertainty quantification
Exposure to reinforcement learning, optimization, or control for drilling automation
Experience with wellbore positioning, tripping, hookload, torque and drag, or drillstring dynamics analysis
Experience with geothermal or unconventional drilling datasets
Publications, datathon wins, or open-source work
Familiarity with cloud deployment, containers, and data engineering tools

Job Description

Intellicess | Tulsa, Oklahoma (role is hybrid but relocation required if not already in Tulsa)

About Intellicess

Intellicess builds AI-powered drilling advisory and automation software for the oil and gas industry. Our flagship product, Sentinel RT®, combines Bayesian networks with physics-based models to detect drilling events and advise crews in real time. Liken® brings the same hybrid AI and physics approach to historical well performance analysis. We are a small, technical team and everyone here has direct influence on the product and on customer outcomes.

The Role

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