Senior Data Scientist - Energy Analytics

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

About the Role

Our client is seeking a highly skilled Senior Data Scientist to lead their energy analytics initiatives from a remote location. You will leverage advanced statistical techniques, machine learning algorithms, and big data technologies to extract actionable insights from complex energy datasets. This role is instrumental in optimizing energy consumption, predicting demand, and improving operational efficiency across our client's diverse energy portfolio. The ideal candidate is a passionate data enthusiast with a strong background in predictive modeling and a deep understanding of the energy sector, eager to drive data-informed decision-making and innovation.

Key Responsibilities

• Develop and implement advanced predictive models for energy demand forecasting, price prediction, and asset performance.
• Analyze large, complex datasets using statistical methods and machine learning 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 clearly to technical and non-technical stakeholders through visualizations and reports.

Requirements

• Ph.D. or Master's degree in Data Science, Statistics, Computer Science, Physics, or a related quantitative field.
• 5+ years of professional experience as a Data Scientist, with a focus on energy analytics or related fields.
• Proficiency in programming languages such as Python or R, and relevant data science libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL databases.
• Strong understanding of machine learning algorithms and statistical modeling.

Benefits

• Top-tier salary and comprehensive bonus package.
• Full remote work flexibility with a generous home office setup budget.
• Executive health, dental, and vision coverage.
• Opportunities to work on cutting-edge data science projects in the energy domain.
• A highly collaborative and intellectually stimulating remote work environment.