Data Scientist - Energy Analytics

Placements24; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Fully remote work arrangement

Competitive compensation

Health, dental, vision insurance

Retirement savings contributions

Access to advanced data science tools

Professional development opportunities

Conferences and certifications

Collaborative virtual team environment

Job summary

Placements24 is seeking a Data Scientist for a fully remote role focused on building predictive models and data-driven energy analytics. You will analyze large energy datasets, develop ML solutions, and collaborate with domain experts to translate business challenges into data science processes.

The role emphasizes energy analytics, scalable pipelines, and delivering actionable insights for grid management and renewable integration in a global remote environment.

Qualifications

• Master’s or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 4 years of experience as a Data Scientist with a focus on predictive modeling and machine learning.
• Proficiency in Python or R and libraries such as scikit-learn, TensorFlow, PyTorch.

Responsibilities

• Develop and implement machine learning models for forecasting energy demand, supply, and pricing.
• Analyze large datasets from smart meters, grid sensors, and renewable sources.
• Build data pipelines and automate data processing tasks.
• Identify patterns and trends in energy consumption and generation data.
• Collaborate with domain experts to define business problems and translate them into data science solutions.
• Visualize data and communicate findings to technical and non-technical stakeholders.
• Evaluate model performance and iterate on solutions for continuous improvement.
• Stay current with advancements in data science and energy analytics.
• Contribute to development of data-driven products and services.

Skills

Python

R

Machine learning

Statistical modeling

SQL

Data visualization

Education

Master's or PhD

Tools

scikit-learn

TensorFlow

PyTorch

SQL databases

Job description

About the Role

Our client, an innovative energy technology firm, is seeking a talented Data Scientist to join their expanding analytics team. This fully remote position offers the opportunity to leverage vast datasets to uncover insights and drive improvements in energy systems across South Africa. You will be responsible for developing predictive models, optimizing energy efficiency, and contributing to strategic decision-making through advanced data analysis. This role requires a strong foundation in statistical modeling, machine learning, and programming, combined with a passion for the energy sector. We encourage collaboration and innovation within our remote work culture. The successful candidate will play a key part in transforming energy data into actionable intelligence, impacting areas such as grid management and renewable energy integration, potentially benefiting regions like Welkom.

Key Responsibilities

• Develop and implement machine learning models for forecasting energy demand, supply, and pricing.


• Analyze large, complex datasets from smart meters, grid sensors, and renewable energy sources.


• Build data pipelines and automate data processing tasks.


• Identify patterns and trends in energy consumption and generation data.


• Collaborate with domain experts to define business problems and translate them into data science solutions.


• Visualize data and communicate findings effectively to technical and non-technical stakeholders.


• Evaluate model performance and iterate on solutions for continuous improvement.


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


• Contribute to the development of data-driven products and services.

Requirements

• Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.


• Minimum of 4 years of experience as a Data Scientist, with a focus on predictive modeling and machine learning.


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


• Experience with SQL and working with large datasets.


• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.


• Experience in the energy sector, particularly with energy data, is a significant plus.


• Excellent analytical, problem-solving, and critical thinking skills.


• Strong communication and presentation skills, with the ability to explain complex models simply.


• Ability to work independently and manage projects effectively in a remote environment.

Benefits

• Competitive salary and performance-based bonuses.


• Fully remote work arrangement with significant flexibility.


• Comprehensive health, dental, and vision insurance plans.


• Generous retirement savings contributions.


• Access to advanced data science tools and platforms.


• Opportunities for professional development, including conferences and certifications.


• Impactful work contributing to the future of the energy industry.


• Collaborative and innovative virtual team environment.