Remote Energy Data Scientist

Placements24; Benoni; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Remote work

Professional development budget

Flexible benefits

Impactful projects

Job summary

Placements24 seeks a remote Energy Data Scientist to join its global analytics team. You will collect, clean, and analyze energy consumption, production, and grid data to drive efficiency, optimization, and strategic decisions in a fully remote setting.

The role requires 6+ years in data science within energy or large-scale data, strong Python/R skills, and experience with Spark, Hadoop, and SQL. This is a fully remote position offering flexible work arrangements.

Qualifications

• Advanced degree in a quantitative field.
• 6+ years experience as a Data Scientist in energy or large-scale data.
• Proficiency in Python or R and libraries (scikit-learn, TensorFlow, Pandas).
• Experience with big data technologies (Spark, Hadoop) and SQL databases.
• Strong statistical modeling, machine learning techniques, and time-series analysis.
• Excellent remote communication and ability to translate insights into business strategies.

Responsibilities

• Develop and implement statistical models and ML algorithms to analyze energy consumption patterns and predict demand.
• Process and clean large datasets from smart meters, sensors, and market data.
• Identify trends, correlations, and anomalies to uncover optimization opportunities.
• Design and build data visualizations and dashboards for stakeholders.
• Collaborate with engineering and product teams to integrate data-driven solutions.
• Stay updated on DS advancements and energy applications.

Skills

Python

R

scikit-learn

TensorFlow

Pandas

Statistical modeling

Time series analysis

Education

Master’s/PhD in a quantitative field

Tools

Spark

Hadoop

SQL

Job description

About the Role

Our client, a leader in the energy sector , is seeking an innovative Remote Energy Data Scientist to join their global analytics team. This is a fully remote position, allowing you to work from anywhere while driving significant advancements in energy efficiency and grid optimization through data. You will be responsible for collecting, cleaning, and analyzing vast datasets related to energy consumption, production, and grid performance. Your insights will directly influence strategic decisions, helping to shape the future of sustainable energy. If you are passionate about leveraging data to solve complex energy challenges, this remote opportunity is ideal.

Key Responsibilities

• Develop and implement advanced statistical models and machine learning algorithms to analyze energy consumption patterns and predict demand.
• Process and clean large, complex datasets from various sources, including smart meters, sensors, and market data.
• Identify trends, correlations, and anomalies in energy usage and generation data to uncover optimization opportunities.
• Design and build data visualizations and dashboards to communicate complex findings to technical and non-technical stakeholders.
• Collaborate with engineering and product teams to integrate data-driven solutions into energy management systems.
• Stay abreast of the latest advancements in data science and their applications within the energy industry.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field.
• Proven experience (6+ years) as a Data Scientist , with a focus on the energy sector or large-scale data analysis.
• Expert proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, Pandas).
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL databases.
• Strong understanding of statistical modeling, machine learning techniques, and time series analysis .
• Excellent communication skills and the ability to translate complex data insights into actionable business strategies in a remote setting.

Benefits

• Exceptional salary and comprehensive benefits package.
• Fully remote work environment offering unparalleled flexibility.
• Generous professional development budget and access to cutting-edge tools.
• Opportunity to work on impactful projects that shape the future of the energy industry .
• Collaborative and innovative virtual team culture.