Data Scientist - Energy Analytics

Placements24; Waukee (IA); On-site; USD 55,000 - 79,000; Full time

Job summary

Placements24 seeks a Data Scientist to join their energy analytics team in Paarl. You will analyze large energy datasets, build predictive models for demand and optimization, and translate results into actionable strategies for generation, distribution, and consumption.

Collaborate with engineers, operations, and business units to drive sustainability and efficiency across the energy landscape, using Python/R, SQL, and big data tools to deliver impact.

Qualifications

• Master's or Ph.D. in a quantitative field such as data science, statistics or CS.
• Minimum 4 years of professional experience as a Data Scientist with energy data.
• Strong Python or R skills and data libraries (Pandas, Scikit-learn, TensorFlow).
• Experience with SQL databases and big data technologies (Spark, Hadoop).

Responsibilities

• Collect, clean, and process large energy-related datasets from various sources.
• Develop and deploy ML models for load forecasting, anomaly detection, and demand prediction.
• Perform statistical analysis and visualize outcomes to reveal trends and insights.
• Collaborate with domain experts to define analytical problems and solutions.
• Communicate findings effectively to technical and non-technical stakeholders.
• Contribute to building data infrastructure and analytical tooling.

Skills

Python

R

Pandas

Scikit-learn

TensorFlow

SQL

Spark

Hadoop

Statistics

Data mining

Education

Master's or PhD in Data Science, Statistics, Computer Science, or related field

Tools

Spark

Hadoop

TensorFlow

Job description

About the Role

Our client is seeking a talented Data Scientist with a passion for energy analytics to join their innovative team in Paarl . In this role, you will leverage vast datasets to uncover insights, build predictive models, and develop data-driven solutions that optimize energy generation, distribution, and consumption. You will work closely with engineering, operations, and business units to translate complex data into actionable strategies, driving efficiency and sustainability within the Western Cape 's energy landscape.

Key Responsibilities

• Collect, clean, and process large datasets from various energy-related sources (e.g., smart meters, grid sensors, market data).
• Develop and deploy machine learning models for tasks such as load forecasting, anomaly detection, and energy demand prediction.
• Perform statistical analysis and data visualization to identify trends, patterns, and insights.
• Collaborate with domain experts to define analytical problems and design appropriate solutions.
• Communicate findings and recommendations effectively to both technical and non-technical stakeholders.
• Contribute to the development of data infrastructure and analytical tools.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field.
• Minimum of 4 years of professional experience as a Data Scientist, with a focus on energy data .
• Strong proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Pandas, Scikit-learn, TensorFlow).
• Experience with SQL databases and big data technologies (e.g., Spark, Hadoop).
• Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Excellent analytical and problem-solving abilities.

Benefits

• Competitive salary and annual bonus based on individual and company performance.
• Comprehensive health, dental, and vision insurance.
• Opportunities for continuous learning and professional growth in a rapidly evolving field.
• A dynamic and collaborative work environment focused on innovation.
• Contribute meaningfully to the efficiency and sustainability of the energy sector .