Data Scientist - Energy Analytics

Placements24; Sandton; Híbrido; ZAR 2.001.000 - 3.001.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote-first culture

Competitive salary

Home office stipend

Professional development

Descripción de la vacante

Placements24 is seeking an experienced Data Scientist - Energy Analytics for a remote-first role. You will build predictive models, analyze energy production and consumption data, and influence strategic decisions.

The position emphasizes ML, statistical modeling, and energy domain expertise, with strong collaboration across technical and business teams. The role requires a Master’s or PhD in a quantitative field, 5+ years of DS experience, and proficiency in Python or R, with ML libraries and

Formación

• Master's degree or PhD in a quantitative field.
• 5+ years as a Data Scientist with analytics focus.
• Proficiency in Python or R and ML libraries.
• Experience with SQL and large databases.
• Strong problem-solving and communication skills.

Responsabilidades

• Collect, clean, and preprocess large energy datasets.
• Develop, train, and deploy ML models for forecasting and anomaly detection.
• Perform statistical analysis and hypothesis testing.
• Design A/B tests and experiments to evaluate models.
• Visualize results for technical and non-technical audiences.
• Collaborate with cross-functional teams to define requirements.
• Document methodologies and code for reproducibility.

Conocimientos

Python

R

SQL

ML libraries

Data visualization

Communication

Educación

Master's or PhD in Data Science

Herramientas

scikit-learn

TensorFlow

PyTorch

Pandas

Descripción del empleo

About the Role

Our client, a global leader in energy technology and innovation, is seeking a highly skilled and motivated Data Scientist - Energy Analytics to join their pioneering remote-first team. This position is focused on leveraging advanced data science techniques to extract actionable insights from vast datasets related to energy production, consumption, and grid performance. While the company operates internationally, this role is fully remote, offering you the flexibility to work from anywhere. You will play a critical role in developing predictive models, optimizing energy systems, and informing strategic business decisions. The ideal candidate possesses a strong quantitative background, expertise in machine learning, statistical modeling, and a passion for solving complex problems within the energy domain. This remote opportunity is perfect for an experienced professional looking to make a significant impact from a home-based setting.

Key Responsibilities

• Collecting, cleaning, and preprocessing large, complex datasets from various energy sources.
• Developing, training, and deploying machine learning models for forecasting, anomaly detection, and optimization.
• Performing statistical analysis and hypothesis testing to uncover trends and insights.
• Designing and implementing A/B tests and other experiments to evaluate model performance.
• Visualizing data and model results effectively for both technical and non-technical audiences.
• Collaborating with engineering, product, and business teams to define analytical requirements and deliver solutions.
• Staying current with the latest advancements in data science, machine learning, and energy analytics.
• Contributing to the development of data infrastructure and best practices.
• Documenting methodologies, findings, and code for reproducibility and knowledge sharing.

Requirements

• Master's degree or PhD in Data Science, Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• Minimum of 5 years of experience as a Data Scientist, with a strong focus on analytical modeling and machine learning.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
• Experience with SQL and working with large databases.
• Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience in the energy sector or with energy-related datasets is a significant advantage.
• Excellent problem-solving, critical thinking, and analytical skills.
• Strong communication and presentation skills, capable of explaining complex findings clearly.
• Proven ability to work independently and collaboratively in a remote team environment.

Benefits

• Highly competitive salary package.
• Performance-based annual bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and flexible holiday policies.
• Home office stipend for equipment and internet.
• Opportunities for professional development, including training and conference attendance.
• Contribution to cutting-edge energy technology and sustainability initiatives.
• Flexible working hours and a remote-first work culture.