Data Scientist - Energy Analytics

Placements24; Willows (CA); Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Competitive salary

Fully remote work

Health, dental, vision insurance

Retirement contributions

Professional development

Job summary

Placements24 is seeking a skilled Data Scientist for a fully remote role focused on energy analytics. You will develop predictive models, analyze vast energy datasets from smart meters and grid sources, and collaborate with domain experts to translate business problems into data science solutions.

The position emphasizes advanced modeling, ML, and data-driven decision making. Ideal candidates hold a Master's or PhD in a quantitative field, with 4+ years of experience and proficiency in Python or

Qualifications

• 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 Python or R and libraries such as scikit-learn, TensorFlow, PyTorch.
• Experience with SQL and large datasets.
• Strong understanding of statistical modeling and ML algorithms.
• Energy sector experience is a plus.

Responsibilities

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

Skills

Predictive modeling

Machine learning

Python

R

SQL

Statistics

Data mining

Data visualization

Education

Master's or PhD in Data Science / CS / Stats

Tools

scikit-learn

TensorFlow

PyTorch

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.