Data Scientist / Wireline

Posted 4 Days Ago
Houston, TX, USA
In-Office
Senior level
Energy
The Role
Develop data pipelines, machine learning models, statistical algorithms, and physics-informed models for downhole tools, signal processing, and formation evaluation. Analyze large structured and unstructured datasets, simulation outputs, and experimental data. Build analytics tools, automate workflows, and collaborate with engineers, physicists, and product teams to support tool development. Communicate technical findings, contribute to project planning and documentation, and apply oil and gas domain expertise to improve system understanding.
Summary Generated by Built In

Job Summary

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 and 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


Skills / Education

  • Bachelor's degree in applied mathematics, Data Science or Physics
  • 5+ years’ experience Data Science
  • Strong analytical and problem-solving skills
  • Excellent communication and presentation abilities
  • Proficiency in managing and interpreting large datasets
  • Experience with machine learning techniques
  • Experience with statistical and data mining techniques
  • Experience using C, C++, Java, JavaScript, Python, R, SQL
  • Expertise in areas such as formation evaluation, production logging and well integrity.
  • 5+ years’ experience in the Oil and Gas industry
  • Knowledge of tool physics and tool characterization
  • Ph.D. in applied mathematics, Data Science or Physics
  • 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.  
  • Active participation in technical societies, forums and open-source communities is a plus.
  • Published technical papers, presented in industry conferences.

 

About us:

 

Weatherford is a leading global energy services company. Our world-class experts partner with customers to optimize their resources and realize the full potential of their assets. Across our operating locations, including manufacturing, research and development, service, and training facilities, operators choose us for strategic solutions that add efficiency, flexibility, and responsibility to any energy operation. 

When you join Weatherford, you instantly feel connected to something bigger – a community that is grounded by our core values and driven to create innovative solutions for our customers. We celebrate each other’s successes, grow together, and learn from each other constantly. Individually, we are impressive. Together, we are unstoppable. We are One Weatherford. 

Weatherford is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

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Skills Required

  • Bachelor's degree in applied mathematics, Data Science, or Physics
  • 5+ years of Data Science experience
  • Strong analytical and problem-solving skills
  • Excellent communication and presentation abilities
  • Experience managing and interpreting large datasets
  • Experience with machine learning techniques
  • Experience with statistical and data mining techniques
  • Experience using C, C++, Java, JavaScript, Python, R, and SQL
  • Expertise in formation evaluation, production logging, and well integrity
  • 5+ years of experience in the oil and gas industry
  • Knowledge of tool physics and tool characterization
  • Ph.D. in applied mathematics, Data Science, or Physics
  • Knowledge of industry standards, regulations, and health, safety, and environmental compliance best practices
  • Ability to research independently and integrate knowledge into working solutions
  • Published technical papers or presentations at industry conferences
  • Active participation in technical societies, forums, or open-source communities
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The Company
HQ: Houston, TX
27,515 Employees
Year Founded: 1987

What We Do

Weatherford International plc (Nasdaq: WFRD) is a leading global energy services company. Operating in approximately 75 countries, the Company answers the challenges of the energy industry with its global talent network of approximately 17,000 team members and approximately 350 operating locations, including manufacturing, research and development, service, and training facilities

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