Remote Data Scientist – Energy Analytics & Forecasting

Placements24; Sandton; Hybrid; ZAR 2,001,000 - 3,001,000; Full time

Benefits offered by this job

Remote-first culture

Competitive salary

Home office stipend

Professional development

Job summary

Placements24 is seeking an experienced Data Scientist - Energy Analytics for a remote-first role. You will build predictive models, analyze energy production and consumption data, and influence strategic decisions.

The position emphasizes ML, statistical modeling, and energy domain expertise, with strong collaboration across technical and business teams. The role requires a Master’s or PhD in a quantitative field, 5+ years of DS experience, and proficiency in Python or R, with ML libraries and

Qualifications

• Master's degree or PhD in a quantitative field.
• 5+ years as a Data Scientist with analytics focus.
• Proficiency in Python or R and ML libraries.
• Experience with SQL and large databases.
• Strong problem-solving and communication skills.

Responsibilities

• Collect, clean, and preprocess large energy datasets.
• Develop, train, and deploy ML models for forecasting and anomaly detection.
• Perform statistical analysis and hypothesis testing.
• Design A/B tests and experiments to evaluate models.
• Visualize results for technical and non-technical audiences.
• Collaborate with cross-functional teams to define requirements.
• Document methodologies and code for reproducibility.

Skills

Python

R

SQL

ML libraries

Data visualization

Communication

Education

Master's or PhD in Data Science

Tools

scikit-learn

TensorFlow

PyTorch

Pandas

Job description

Placements24 is seeking an experienced Data Scientist - Energy Analytics for a remote-first role. You will build predictive models, analyze energy production and consumption data, and influence strategic decisions.

The position emphasizes ML, statistical modeling, and energy domain expertise, with strong collaboration across technical and business teams. The role requires a Master’s or PhD in a quantitative field, 5+ years of DS experience, and proficiency in Python or R, with ML libraries and