Data Scientist - Energy Analytics (Remote)

Placements24; Upington; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Remote work flexibility

Equity/bonuses potential

Cutting-edge technology access

Job summary

Placements24 is seeking a data scientist to join its advanced analytics team in a fully remote role. You will develop predictive models for energy forecasting, analyze large datasets from meters and sensors, and translate data into business insights.

The ideal candidate holds a Master’s or PhD in a quantitative field, 5+ years of experience in energy analytics, and Python or R with ML libraries. You’ll collaborate with engineers and stakeholders to drive data‑driven decisions.

Qualifications

• Master's or PhD in Data Science, Statistics, Computer Science, Physics, or a related quantitative field.
• Minimum of 5 years of experience as a Data Scientist, with a focus on energy analytics or similar complex domains.
• Proficiency in Python or R and libraries such as scikit-learn, TensorFlow or PyTorch.
• Strong knowledge of statistical modeling, ML algorithms and data mining techniques.
• Experience with big data technologies (Spark, Hadoop) and SQL.

Responsibilities

• Develop, implement, and deploy ML models for energy forecasting, anomaly detection, and optimization.
• Analyze large datasets from meters, sensors, and market data to uncover trends.
• Design experiments to test hypotheses and validate model performance.
• Collaborate with domain experts to translate business requirements into data science problems.
• Communicate findings clearly to technical and non-technical audiences.
• Build and maintain data pipelines and analytical tools for ongoing research and analytics.

Skills

Python/R

ML algorithms

Big data

SQL

Remote work

Education

Master's or PhD in a quantitative field

Tools

scikit-learn

TensorFlow

PyTorch

Job description

About the Role

Our client is seeking a highly skilled and innovative Data Scientist to join their advanced analytics team. This is a fully remote position, allowing you to leverage data to drive insights and strategies within the energy sector from anywhere. You will be instrumental in developing predictive models, analyzing large datasets, and extracting valuable information to optimize energy generation, distribution, and consumption. The ideal candidate possesses a strong background in machine learning, statistical modeling, and a passion for solving complex challenges in the energy industry. You will work collaboratively with engineers and business stakeholders to translate data into actionable business intelligence.

Key Responsibilities

• Develop, implement, and deploy machine learning models for energy forecasting, anomaly detection, and performance optimization.
• Analyze vast datasets from diverse sources (e.g., smart meters, sensor networks, market data) to uncover trends and insights.
• Design and conduct experiments to test hypotheses and validate model performance.
• Collaborate with domain experts to understand business requirements and translate them into data science problems.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences.
• Build and maintain data pipelines and analytical tools to support ongoing research and operational analytics.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Physics, or a related quantitative field.
• Minimum of 5 years of experience as a Data Scientist, with a focus on energy analytics or similar complex domains.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong knowledge of statistical modeling, machine learning algorithms and data mining techniques.
• Experience with big data technologies (e.g., Spark, Hadoop) and database querying (SQL).
• Excellent problem-solving skills and the ability to work independently in a remote setting.

Benefits

• Highly competitive salary and potential for performance-based equity or bonuses.
• Comprehensive health, dental, and vision insurance plans.
• Access to cutting-edge technology and significant data resources.
• Full remote work flexibility, enabling work-life balance.
• Opportunity to make a significant impact on the future of the energy industry through data-driven innovation.