Remote Senior Data Scientist - Energy Analytics Forecasting

Placements24; Sol Plaatje Local Municipality; Hybrid; ZAR 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Top-tier salary

Remote work

Home office budget

Executive health/dental/vision

Cutting-edge data science projects

Collaborative remote environment

Job summary

Placements24 is seeking a Senior Data Scientist to lead energy analytics remotely. You will apply advanced statistical methods and ML to optimize energy use, forecast demand, and improve operations across a diverse energy portfolio.

The ideal candidate holds a PhD or Master’s in a quantitative field, 5+ years in data science, and hands-on experience with Python or R, ML libraries, Spark/Hadoop, and SQL. You will collaborate with cross-functional teams and communicate insights through clear

Qualifications

• PhD or Master’s degree in a quantitative field (Data Science, Statistics, CS, Physics, or related).
• 5+ years of professional Data Science experience with energy analytics focus.
• Proficiency in Python or R and experience with ML libraries.
• Experience with big data (Spark/Hadoop) and SQL databases.

Responsibilities

• Develop and implement advanced predictive models for energy demand forecasting, price prediction, and asset performance.
• Analyze large datasets using statistical methods and ML techniques.
• Design and conduct experiments to test hypotheses and validate models.
• Collaborate with engineering, operations, and business teams to identify data-driven solutions.
• Communicate findings and recommendations through visualizations and reports.

Skills

Energy analytics

Predictive modeling

Statistical modeling

Education

PhD or Master's in Data Science/Statistics/CS/Physics or related

Tools

Python

R

TensorFlow

PyTorch

scikit-learn

Spark

Hadoop

SQL

Job description

Placements24 is seeking a Senior Data Scientist to lead energy analytics remotely. You will apply advanced statistical methods and ML to optimize energy use, forecast demand, and improve operations across a diverse energy portfolio.

The ideal candidate holds a PhD or Master’s in a quantitative field, 5+ years in data science, and hands-on experience with Python or R, ML libraries, Spark/Hadoop, and SQL. You will collaborate with cross-functional teams and communicate insights through clear