Data Scientist - Reservoir Analytics

Placements24; Mossel Bay; Hybrid; ZAR 700,000 - 1,100,000; Full time

Benefits offered by this job

Competitive salary

Health coverage

Flexible remote hours

Professional development budget

Global projects

Job summary

Placements24 is seeking a talented Data Scientist specialized in Reservoir Analytics to join a fully remote team. You will apply advanced data science, ML, and statistical modeling to extract insights from reservoir data and enhance production forecasting and recovery optimization across assets.

Collaboration is remote-first, with engineers, geoscientists, and IT partners across geographies. The role emphasizes autonomous work, rigorous experimentation, and delivering data-driven decisions that

Qualifications

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Petroleum Engineering, or a related quantitative field.
• 5+ years of experience as a Data Scientist, ideally in Oil & Gas or similar complex data environments.
• Proficiency in Python or R and data science libraries (scikit-learn, TensorFlow, PyTorch).
• Experience with big data technologies (Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Strong understanding of reservoir engineering principles and subsurface data.
• Excellent communication for remote, autonomous work.

Responsibilities

• Develop and implement machine learning models for reservoir performance prediction and optimization.
• Analyze large datasets from wells, production data, seismic to identify trends and anomalies.
• Build data visualizations and dashboards for stakeholders.
• Design and execute A/B tests and experiments to validate model performance and business impact.
• Collaborate with reservoir engineers, geoscientists, and IT in a virtual setting.
• Contribute to data pipelines and data governance strategies.

Skills

Python

R

Machine Learning

Data Visualization

Spark

Hadoop

AWS

GCP

Education

Master's or PhD in a quantitative field

Tools

scikit-learn

TensorFlow

PyTorch

Job description

Our client is looking for a talented Data Scientist specializing in Reservoir Analytics to join their fully remote team. This role is pivotal in leveraging advanced data science techniques, machine learning, and statistical modeling to extract actionable insights from vast amounts of reservoir data. You will play a key part in improving reservoir characterization, production forecasting, and optimizing recovery strategies across the company's assets. The ideal candidate is passionate about applying data-driven approaches to complex challenges in the Oil & Gas industry and excels in a remote, collaborative environment. This is a unique opportunity to shape the future of reservoir management through cutting-edge analytics.

Key Responsibilities

• Develop and implement machine learning models for reservoir performance prediction and optimization.
• Analyze large datasets from various sources (e.g., well logs, production data, seismic) to identify trends and anomalies.
• Build data visualizations and dashboards to communicate complex findings to technical and non-technical stakeholders.
• Design and execute A/B tests and experiments to validate model performance and business impact.
• Collaborate closely with reservoir engineers, geoscientists, and IT professionals in a virtual setting.
• Contribute to the development of data pipelines and data governance strategies.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Petroleum Engineering, or a related quantitative field.
• 5+ years of experience as a Data Scientist, with a strong focus on the Oil & Gas industry or similar complex data environments.
• Proficiency in programming languages like Python or R and associated data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Solid understanding of reservoir engineering principles and subsurface data.
• Exceptional communication skills and the ability to work autonomously and effectively in a remote-first setup.

Benefits

• Highly competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision coverage.
• Generous paid time off and flexible remote working hours.
• Professional development budget for conferences and courses.
• Opportunity to work on challenging projects with a global impact from anywhere.