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Halliburton
Halliburton

Halliburton Company is an American multinational corporation and the world's second-largest oil service company, responsible for most of the world's fracking operations

Machine Learning Geoscientist - Jr

직무머신러닝
경력신입/주니어
근무오피스 출근
고용정규직
게시2개월 전
지원하기

필수 스킬

Python

PyTorch

TensorFlow

Machine Learning

We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.

Job Duties

Are you passionate about applying cutting-edge machine learning to subsurface geoscience challenges? Join our geoscience research team at Landmark Software & Services, where innovation meets geological expertise. Based in our Abingdon office, you’ll help shape the future of subsurface interpretation and modelling.

Key Responsibilities

Under supervision, applies theories, principles and practices to the research and development of new and improved products, processes and procedures. Performs research and experimentation at the direction of technology leadership. Communicates occasionally with technical clients.

Required Qualifications & Skills

  • Honors degree (2:1 or above) geoscience.

  • 2 - 5 years relevant industry experience

  • Strong understanding of specific geoscience domains such as stratigraphy, sedimentology, or petroleum geology.

  • Experience of working with subsurface datasets (e.g., wireline, seismic, biostratigraphy).

  • Strong python programming skills and experience with ML frameworks (e.g., Tensor Flow, Py Torch, Scikit-learn).

  • Excellent communication and teamwork skills in a collaborative R&D environment.

AI / ML Implementation:

  • Design and implement AI/ML algorithms to automate and enhance geological interpretation.

  • Develop AI/ML algorithms to improve geological realism in subsurface models.

  • Validate predictive models using blind test datasets and real-world scenarios.

Collaboration & Innovation

  • Work closely with colleagues from multiple disciplines to refine and enhance workflows.

  • Stay current with AI/ML and geoscience advancements to drive innovation.

  • Contribute to publications, patents, and technical presentations.

Desirable Experience

  • Proven application of AI/ML in geoscience projects.

  • Experience in the energy sector.

Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Location

97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom

Job Details Requisition Number: 204383

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Halliburton 소개

Halliburton

Halliburton Company is an American multinational corporation and the world's second-largest oil service company, responsible for most of the world's fracking operations. The company, incorporated in the United States, has dual headquarters located in Houston and in Dubai.

10,001+

직원 수

Houston

본사 위치

$15B

기업 가치

리뷰

10개 리뷰

3.4

10개 리뷰

워라밸

2.8

보상

4.2

문화

3.5

커리어

2.5

경영진

2.3

65%

지인 추천률

장점

Good benefits and competitive salary

Training programs and learning opportunities

Supportive team environment

단점

Poor work-life balance and long hours

High pressure and stress during peak times

Disorganized management

연봉 정보

446개 데이터

Junior/L3

Principal/L7

Senior/L5

Senior

Junior/L3 · Data Scientist

0개 리포트

$165,000

총 연봉

기본급

$140,000

주식

$10,000

보너스

$15,000

$140,250

$189,750

면접 후기

후기 2개

난이도

3.0

/ 5

소요 기간

14-28주

면접 과정

1

Application Review

2

HR Screen

3

Technical Assessment

4

Behavioral Interview

5

Hiring Manager Interview

6

Offer

자주 나오는 질문

Technical Knowledge

Behavioral/STAR

Past Experience

Safety Protocols

Problem Solving