Data Scientist - Energy Analytics (Remote)

Placements24; Stellenbosch; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Remote work benefits

Stock options

Professional development budget

Flexible hours

Job summary

Placements24 is seeking a Data Scientist to join a fully remote team focused on energy analytics for Oil & Gas operations. You will build ML models, perform advanced analyses, and communicate findings to stakeholders while working in a flexible, remote environment.

The role emphasizes predictive maintenance, production optimization, and exploration success, requiring collaboration with domain experts and strong communication skills.

Qualifications

• Master's or PhD in Data Science, Computer Science, Statistics, or a related quantitative field.
• Minimum 5 years of professional experience as a Data Scientist, with energy sector focus.
• Proficiency in Python or R and data/machine learning libraries.

Responsibilities

• Develop and deploy ML models for predictive maintenance and production optimization.
• Analyze large datasets from seismic, production, and operational logs.
• Design and conduct A/B tests to evaluate models and strategies.
• Create data visualizations and dashboards for technical and non-technical audiences.
• Collaborate with geology, engineering, and operations to define analytical problems.

Skills

Python

R

Pandas

Scikit-learn

TensorFlow

SQL

Communication

Education

Master's or PhD in Data Science

Tools

Spark

Hadoop

Job description

About the Role

Our client is seeking an innovative Data Scientist to join their fully remote team, focusing on energy analytics for their Oil & Gas operations, with primary engagement in projects related to Stellenbosch . This role will leverage advanced data science techniques to extract actionable insights from vast datasets, driving improvements in operational efficiency, predictive maintenance, and exploration success. You will be instrumental in building machine learning models, performing complex statistical analyses, and communicating findings to stakeholders, all within a flexible, remote work environment. This is a unique opportunity to apply cutting-edge data science to the energy sector.

Key Responsibilities

• Develop and deploy machine learning models for predictive maintenance, production optimization, and risk assessment.
• Analyze large, complex datasets from various sources, including seismic, production, and operational logs.
• Design and conduct A/B tests and other experiments to evaluate the effectiveness of new models and strategies.
• Create compelling data visualizations and dashboards to communicate insights to technical and non-technical audiences.
• Collaborate with domain experts in geology, engineering, and operations to define analytical problems and solutions.

Requirements

• Master's or PhD in Data Science, Computer Science, Statistics, or a related quantitative field.
• Minimum 5 years of professional experience as a Data Scientist , with a strong focus on the energy sector .
• Proficiency in programming languages such as Python or R, and libraries for data manipulation and machine learning (e.g., Pandas, Scikit-learn, TensorFlow).
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL databases.
• Excellent communication and collaboration skills, essential for a remote position.

Benefits

• Highly competitive salary and remote work benefits.
• Performance-based bonuses and stock options.
• Generous budget for professional development, conferences, and online courses.
• Flexible working hours and a supportive remote team culture.
• The opportunity to work on challenging and impactful projects in the Oil & Gas industry .