Remote Data Scientist - Energy Analytics

Placements24; Upington; Hybrid; ZAR 600,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

Health benefits

Retirement plan

Remote work flexibility

Job summary

Placements24 seeks a Remote Data Scientist to join its energy analytics team. The role focuses on developing advanced ML models and statistical methods to extract insights from large energy datasets, including consumption, generation, and grid operations.

You will work remotely with cross-functional teams to deliver data-driven solutions. The ideal candidate has 5+ years of experience in data science, strong coding skills in Python or R, and expertise in ML techniques and data visualization.

Qualifications

• Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, Physics, or related quantitative field.
• Minimum 5 years of professional experience as a Data Scientist with proven model-building and deployment experience.
• Strong programming skills in Python or R, with libraries such as scikit-learn, TensorFlow, PyTorch, Pandas, NumPy.

Responsibilities

• Design, develop, and deploy ML models and statistical algorithms for energy data.
• Process large, complex datasets from diverse sources ensuring data quality.
• Identify patterns and anomalies in energy consumption, generation, and grid data.
• Develop predictive models for energy demand, price, and equipment failure.
• Create data visualizations and dashboards for stakeholders.
• Collaborate with engineers and analysts to define analytical requirements.

Skills

Machine Learning

Statistical Modeling

Python

R

Data Visualization

Education

Master's or PhD in Data Science or related

Tools

scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

SQL

Job description

About the Role

Our client, a leader in transforming the energy sector through data-driven insights, is seeking an accomplished Remote Data Scientist to join their innovative team. This is a fully remote position, enabling you to contribute your expertise from anywhere. You will be instrumental in developing and implementing advanced analytical models to extract valuable information from vast datasets related to energy production, consumption, grid operations, and market trends. The ideal candidate possesses a strong background in statistical modeling, machine learning, and data visualization, with a keen interest in applying these skills to solve complex challenges in the energy domain. This is an exceptional opportunity to shape the future of energy with cutting-edge data science in a flexible, remote work environment.

Key Responsibilities

• Design, develop, and deploy machine learning models and statistical algorithms to analyze energy data.


• Explore and process large, complex datasets from various sources, ensuring data quality and integrity.


• Identify patterns, trends, and anomalies in energy consumption, generation, and grid performance data.


• Develop predictive models for energy demand forecasting, price prediction, and equipment failure.


• Create insightful data visualizations and dashboards to communicate findings to technical and non-technical stakeholders.


• Collaborate with domain experts, engineers, and business analysts to define analytical requirements and deliver solutions.


• Stay current with the latest advancements in data science, machine learning, and their applications in the energy industry.


• Contribute to the development of data infrastructure and analytical tools.


• Evaluate and select appropriate statistical techniques and machine learning algorithms for specific problems.


• Document methodologies, code, and results thoroughly.

Requirements

• Master's or PhD degree in Data Science, Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.


• A minimum of 5 years of professional experience as a Data Scientist, with a proven track record in building and deploying models.


• Strong proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).


• Experience with SQL and working with large relational databases.


• Expertise in statistical modeling, machine learning techniques (e.g., regression, classification, clustering, time series analysis), and their practical application.


• Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark) is a plus.


• Excellent data visualization skills using tools like Matplotlib, Seaborn, Tableau, or Power BI.


• Strong analytical and problem-solving abilities.


• Effective communication and presentation skills, with the ability to explain complex technical concepts clearly.


• Demonstrated ability to work independently and collaboratively in a remote team environment.

Benefits

• Our client offers a highly competitive salary, comprehensive health benefits, and a generous retirement savings plan.


• We provide ample opportunities for professional development, including access to online courses, conferences, and the chance to work on impactful, innovative projects.


• Enjoy the flexibility of remote work while driving advancements in energy analytics and contributing to a sustainable future.