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Skills
Analysis Skillsunmatched
Best Practicesunmatched
Communication Skillsunmatched
Conferencesunmatched
Cross-Functionalunmatched
Data Analysisunmatched
Data Cleaningunmatched
Data Managementunmatched
Data Miningunmatched
Data Scienceunmatched
Data Setsunmatched
Environmental Complianceunmatched
Industry Standardsunmatched
Interpersonal Skillsunmatched
Machine Learningunmatched
Mathematicsunmatched
Open Sourceunmatched
Physicsunmatched
Presentation/Verbal Skillsunmatched
Problem Solving Skillsunmatched
Programming Toolsunmatched
Project Planningunmatched
Publicationsunmatched
Regulationsunmatched
Research Skillsunmatched
Safety Complianceunmatched
Signal Processingunmatched
Simulationunmatched
Statistical Algorithmsunmatched
Statistical Modelingunmatched
Statisticsunmatched
Structured Dataunmatched
Team Playerunmatched
Technical Presentationunmatched
Technical Writingunmatched
Trend Analysisunmatched
Unstructured Dataunmatched
Willing to Travelunmatched
Workflow Analysisunmatched
Description
Job Purpose
We are seeking a highly motivated Data Scientist to join our Sciences team. In this role, you will apply advanced data analytics, machine learning, and scientific modeling to solve complex problems related to downhole tools, signal processing, and formation evaluation.
The ideal candidate combines strong fundamentals in applied mathematics and data science with the ability to work in a cross-functional engineering environment.
Roles & Responsibilities
Design and develop data pipelines for cleaning, validation, and analysis of large datasets
Analyze structured and unstructured data to identify trends, patterns, and anomalies
Develop and deploy machine learning models and statistical algorithms
Automate data workflows and analysis using modern programming tools
Modeling & Technical Contributions
Build predictive and physics-informed models to support tool development and characterization
Work with simulation outputs and experimental data to improve system understanding
Develop custom tools and frameworks for advanced analytics
Collaboration & Delivery
Partner with engineers, physicists, and product teams to translate business needs into analytical solutions
Communicate insights and results effectively to technical and non-technical stakeholders
Support project planning, technical documentation, and knowledge sharing
Experience & Education
REQUIRED
Master''s degree in applied mathematics, Data Science or Physics
5+ years' experience in the Oil and Gas industry
Strong analytical and problem-solving skills
Excellent communication and presentation abilities
Proficiency in managing and interpreting large datasets
Knowledge of tool physics and tool characterization
Experience with machine learning techniques
Experience with statistical and data mining techniques
PREFERRED
Experience using C, C++, Java, JavaScript, Python, R, SQL
Expertise in areas such as formation evaluation, production logging and well integrity.
Knowledge, Skills & Abilities
REQUIRED
Excellent problem-solving, analytical, and decision-making skills, with the ability to think critically and develop innovative solutions.
Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders
Knowledge of industry standards, regulations, and best practices related to health, safety, and environmental compliance.
Self-starter, Curious, ability to research independently and integrate knowledge from various sources into working solutions.
PREFERRED
Active participation in technical societies, forums and open-source communities is a plus.
Published technical papers, presented in industry conferences.
Travel Requirement:
This role may require domestic and potentially international travel of up to: 10-25%