Job description

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. #LI-KP1

Requirements

Must-haves

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

Nice-to-haves

Active participation in technical societies, forums and open-source communities is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningjavajavascriptpythonsql

Platform: oracle-cloud
Effort: medium