Upstream Data Scientist

Placements24; Polokwane; Hybrid; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Fully remote

Health, dental, and vision insurance

Generous paid time off

Home office allowance

Access to cutting-edge technology

Job summary

Placements24 is seeking a highly analytical Upstream Data Scientist to join a fully remote team. You will leverage ML/AI to drive insights across exploration and production, working with seismic, well logs, and production data to build predictive models and optimize processes.

Requirements include a Master's/PhD in a quantitative field, 5+ years of upstream data science experience, and proficiency in Python or R, Spark, and cloud platforms.

Qualifications

• Master's or Ph.D. in Data Science, Computer Science, Statistics, or related field.
• 5+ years of professional experience as a Data Scientist in upstream oil and gas.
• Proficiency in Python or R and libraries like scikit-learn, TensorFlow, PyTorch.
• Experience with big data technologies (Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Strong understanding of ML algorithms, statistical modeling, and data mining techniques.
• Excellent problem-solving skills and ability to work independently in a remote environment.

Responsibilities

• Develop and implement ML models for production forecasting, anomaly detection, and reservoir characterization.
• Analyze large-scale upstream datasets to identify trends and opportunities.
• Build data pipelines and ensure data quality for analytics projects.
• Collaborate with geoscientists and engineers to translate challenges into data science problems.
• Communicate findings to technical and non-technical stakeholders via visualizations and reports.
• Stay current with advances in data science, AI, and their energy applications.

Skills

Python

R

Machine Learning

Big Data

Cloud Platforms

Statistical Modeling

Remote work

Education

Master's degree in Data Science

PhD in Data Science or related

Tools

Spark

Hadoop

TensorFlow

PyTorch

scikit-learn

Job description

About the Role

Our client is seeking a highly analytical and innovative Upstream Data Scientist to join their fully remote team. This role is critical for leveraging advanced data analytics, machine learning, and AI to drive insights and efficiencies across exploration and production operations. You will work with large, complex datasets from seismic, well logs, production, and operational systems to develop predictive models, optimize processes, and uncover hidden value. This is a unique opportunity to shape the data strategy for our client's upstream business unit from anywhere, contributing to data-driven decision-making.

Key Responsibilities

• Develop and implement machine learning models for applications such as production forecasting, anomaly detection, and reservoir characterization.
• Analyze large-scale upstream datasets (seismic, well logs, production, operational data) to identify trends and opportunities.
• Build data pipelines and ensure data quality for various analytical projects.
• Collaborate with domain experts (geoscientists, engineers) to understand challenges and translate them into data science problems.
• Communicate complex findings and model results to technical and non-technical stakeholders through visualizations and reports.
• Stay current with the latest advancements in data science, AI, and their applications in the energy sector.

Requirements

• Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related quantitative field.
• 5+ years of professional experience as a Data Scientist, with a strong focus on the upstream oil and gas industry .
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Excellent problem-solving skills and the ability to work independently in a remote environment.

Benefits

• Highly competitive salary and bonus potential.
• Fully remote work arrangement with significant flexibility.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and holidays.
• Allowance for home office setup and professional development.
• Access to cutting-edge technology and data platforms.