Remote Data Scientist, Energy Analytics & Forecasting

Placements24; LegKraal Gate; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Competitive salary

Remote work

Health insurance

Retirement fund

Professional development

Paid time off

Life insurance

Virtual team events

Job summary

Placements24 is hiring a Remote Data Scientist in South Africa. You will develop predictive models for energy forecasting, analyze large energy datasets, and collaborate with a distributed team to drive efficiency. Strong Python or R skills and 4+ years in data science are required, with experience in ML libraries and big data tech.

Remote work offers flexibility and growth opportunities. The role emphasizes data-driven decision making, stakeholder communication, and ongoing learning in energy

Qualifications

• Advanced degree in a quantitative field required.
• 4+ years in data science with predictive modeling focus.
• Proficiency in Python or R and ML libraries.
• Experience with SQL and big data tech (Spark/Hadoop).
• Energy sector data experience is a plus.

Responsibilities

• Develop, test, and deploy ML models for energy forecasting and optimization.
• Analyze large energy datasets: consumption, generation, grids.
• Extract actionable insights to guide strategy and operations.
• Design experiments and A/B tests to validate models.
• Communicate findings to technical and non-technical stakeholders.
• Build dashboards to monitor KPIs and data quality.
• Stay updated on advancements in data science and energy analytics.
• Collaborate with engineers, product managers and domain experts.

Skills

Python

R

SQL

ML & modeling

Data visualization

Communication

Education

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

Tools

scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

Job description

Placements24 is hiring a Remote Data Scientist in South Africa. You will develop predictive models for energy forecasting, analyze large energy datasets, and collaborate with a distributed team to drive efficiency. Strong Python or R skills and 4+ years in data science are required, with experience in ML libraries and big data tech.

Remote work offers flexibility and growth opportunities. The role emphasizes data-driven decision making, stakeholder communication, and ongoing learning in energy