Senior Data Scientist - Energy Analytics (Remote)

Placements24; Randburg; Hybrid; ZAR 950,000 - 1,800,000; Full time

Benefits offered by this job

Fully remote

Bonus structure

Professional development budget

Energy sector focus

Job summary

Placements24 is seeking a Senior Data Scientist to lead advanced analytics in the energy sector, working remotely. You will build predictive models from large datasets and drive data-informed decisions across exploration, production, and distribution, collaborating with cross‑functional teams.

Requirements include a Master’s or PhD in a quantitative field, 5+ years in data science, expertise in Python or R and libraries like TensorFlow or PyTorch, and experience with Spark/Hadoop.

Qualifications

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of experience in data science and machine learning, with a focus on predictive modeling.
• Proficiency in Python or R and libraries like TensorFlow, PyTorch, or scikit-learn.

Responsibilities

• Develop and deploy machine learning models for forecasting, anomaly detection, and optimization in energy operations.
• Analyze large, complex datasets to identify trends, patterns, and actionable insights.
• Design and implement A/B testing frameworks to evaluate the effectiveness of new strategies.
• Collaborate with engineers and business stakeholders to define analytical requirements and deliver solutions.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences.
• Mentor junior data scientists and contribute to the team's technical growth and best practices.

Skills

Python

R

Predictive Modeling

Statistical Analysis

Data Visualization

Remote Work

Education

Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related quantitative field

Tools

TensorFlow

PyTorch

scikit-learn

Spark

Hadoop

Job description

Placements24 is seeking a Senior Data Scientist to lead advanced analytics in the energy sector, working remotely. You will build predictive models from large datasets and drive data-informed decisions across exploration, production, and distribution, collaborating with cross‑functional teams.

Requirements include a Master’s or PhD in a quantitative field, 5+ years in data science, expertise in Python or R and libraries like TensorFlow or PyTorch, and experience with Spark/Hadoop.