Data Scientist - Oil & Gas Analytics

Placements24; Queenstown; Hybrid; NZD 120,000 - 180,000; Full time

Benefits offered by this job

Remote work

Professional development

Medical & retirement benefits

Conference opportunities

Job summary

Placements24 is seeking a highly analytical Data Scientist to join a fully remote team focused on advanced analytics within the Oil & Gas sector. You will leverage large datasets from exploration, production, and operations to uncover insights, build predictive models, and drive data-informed decision-making.

You will collaborate with geoscientists, engineers, and business leaders across the globe, contributing to digital transformation and technological advancement from your home office.

Qualifications

• Master's or PhD in Data Science, Statistics, Computer Science or a related quantitative field.
• Minimum of 5 years of experience as a Data Scientist, with significant experience in the Oil & Gas industry.
• Proficiency in programming languages like Python or R, and expertise in ML libraries (TensorFlow, PyTorch, Scikit-learn).
• Experience with big data technologies (Spark, Hadoop) and SQL databases.

Responsibilities

• Develop and implement machine learning models for production forecasting, anomaly detection, and predictive maintenance.
• Analyze large, complex datasets related to seismic data, well logs, production volumes, and operational parameters.
• Design and conduct data experiments to test hypotheses and validate model performance.
• Collaborate with domain experts to define business problems and translate them into data science solutions.
• Communicate findings and insights effectively through visualizations and presentations to both technical and non-technical audiences.

Skills

Python

R

TensorFlow

PyTorch

Scikit-learn

Spark

Hadoop

SQL

Education

Master's degree

PhD

Tools

SQL databases

Hadoop

Spark

Job description

About the Role

Our client is seeking a highly analytical and innovative Data Scientist to join their fully remote team, focusing on advanced analytics within the Oil & Gas sector. You will leverage large datasets from exploration, production, and operations to uncover insights, build predictive models, and drive data-informed decision-making. This role is critical in optimizing operational efficiency, improving reservoir performance, and identifying new opportunities. As a remote-first position, you will collaborate with geoscientists, engineers, and business leaders across the globe, contributing to the company's digital transformation and technological advancement from your home office.

Key Responsibilities

• Develop and implement machine learning models for applications such as production forecasting, anomaly detection, and predictive maintenance.
• Analyze large, complex datasets related to seismic data, well logs, production volumes, and operational parameters.
• Design and conduct data experiments to test hypotheses and validate model performance.
• Collaborate with domain experts to define business problems and translate them into data science solutions.
• Communicate findings and insights effectively through visualizations and presentations to both technical and non-technical audiences.

Requirements

• Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field.
• Minimum of 5 years of experience as a Data Scientist , with significant experience in the Oil & Gas industry .
• Proficiency in programming languages like Python or R, and expertise in ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL databases.
• Strong analytical, problem-solving, and communication skills, essential for success in a remote, collaborative environment.

Benefits

• Exceptional annual salary and generous performance bonuses.
• Fully remote position, offering ultimate flexibility and work-life integration.
• Comprehensive benefits including medical, dental, and retirement planning.
• Access to extensive online learning resources and opportunities to attend leading data science conferences.
• Be at the forefront of innovation in Oil & Gas analytics, working with cutting-edge technologies.