Data Scientist - Wireline

Socket.dev; Houston (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Socket.dev in Houston seeks a Data Scientist to apply advanced analytics and modeling to downhole tools, signal processing, and formation evaluation. You will collaborate with engineers and physicists to translate complex problems into analytical solutions.

The role requires a Master’s-level background in applied mathematics, data science, or physics, 5+ years in Oil & Gas, and proven ability to work across cross-functional teams delivering data-driven insights.

Qualifications

• Master's degree in applied mathematics, data science, or physics.
• 5+ years’ experience in the Oil and Gas industry.
• Proficiency in handling large datasets and ML techniques.

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.
• 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.
• 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.

Skills

Data science

Machine learning

Analytical thinking

Communication

Collaboration

Education

Master's degree in applied mathematics

Tools

Python

R

SQL

C

C++

Java

JavaScript

Job 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%

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