Senior Data Scientist - Energy Analytics

Placements24; Upington; A distancia; ZAR 2.504.000 - 3.506.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully remote work arrangement

Competitive salary plus bonus

Health, dental, and vision insurance

Professional development support

Access to state-of-the-art data tools

Descripción de la vacante

Placements24 is recruiting a Senior Data Scientist for a fully remote role influencing energy analytics globally. You will apply advanced statistical methods and ML to energy production, consumption, and grid performance, collaborating with engineers and analysts from diverse regions, including Upington, Northern Cape.

The ideal candidate holds a Master’s or PhD in a quantitative field and has 6+ years of experience with Python or R, SQL, and ML frameworks such as TensorFlow or PyTorch.

Formación

• Master's or Ph.D. in Data Science, Statistics, CS, Physics or related quantitative field.
• 6+ years of professional experience applying data science in energy contexts.
• Proficiency in Python or R with relevant libraries (scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
• Strong SQL experience with relational databases.

Responsabilidades

• Design, develop, and deploy ML models addressing energy sector problems.
• Analyze large energy datasets to detect patterns and trends in generation, consumption, and grid performance.
• Develop predictive models for demand forecasting and equipment failure.
• Communicate insights through data visualization to diverse stakeholders.
• Collaborate with engineers, analysts, and domain experts on data needs and analytical approaches.
• Clean, transform, and prepare data for modeling.
• Evaluate model performance for accuracy, robustness, and scalability.
• Stay updated on advances in data science and AI.
• Contribute to data infrastructure and governance.

Conocimientos

Statistical modeling

Python/R programming

Communication

Remote work/independent

Educación

Master's degree in Data Science or related field

PhD in a quantitative field

Herramientas

scikit-learn

TensorFlow

PyTorch

Pandas/NumPy

Descripción del empleo

About the Role

Our client, a forward‑thinking energy technology company, is seeking a talented Senior Data Scientist to join their analytics team. This role is fully remote, allowing you to contribute to innovative projects from anywhere while impacting the energy landscape globally, including initiatives that may support operations in regions like Upington, Northern Cape. You will leverage advanced statistical techniques, machine learning, and data mining to extract valuable insights from large datasets related to energy production, consumption, grid performance, and market trends. The ideal candidate will have a strong quantitative background, expertise in programming languages like Python or R, and a passion for applying data science to solve complex energy challenges. This is an opportunity to shape the future of data‑driven decision‑making in the energy sector.

Key Responsibilities

• Design, develop, and deploy machine learning models and algorithms to address key business problems in the energy sector.
• Analyze large, complex datasets to identify patterns, trends, and correlations related to energy generation, consumption, and grid efficiency.
• Develop predictive models for energy demand forecasting, equipment failure prediction, and renewable energy output.
• Utilize data visualization techniques to communicate insights and findings to technical and non‑technical stakeholders.
• Collaborate with domain experts, engineers, and business analysts to understand data needs and define analytical approaches.
• Clean, process, and transform raw data into usable formats for analysis and modeling.
• Evaluate and benchmark model performance, ensuring accuracy, robustness, and scalability.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
• Contribute to the development of data infrastructure and data governance practices.
• Mentor junior data scientists and contribute to a culture of data‑driven innovation.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Physics, or a related quantitative field.
• Minimum of 6 years of professional experience as a Data Scientist, with a significant focus on applying data science in the energy sector.
• Proficiency in programming languages such as Python or R, including relevant data science libraries (e.g., scikit‑learn, TensorFlow, PyTorch, Pandas, NumPy).
• Strong experience with SQL and working with relational databases.
• Expertise in machine learning techniques, including supervised and unsupervised learning, deep learning, and time series analysis.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent analytical, problem‑solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex analytical results clearly.
• Proven ability to work independently and manage projects in a remote environment.
• Experience with cloud platforms (AWS, Azure, GCP) is desirable.

Benefits

• Highly competitive salary and annual performance bonus.
• Fully remote work arrangement offering maximum flexibility and work‑life balance.
• Opportunity to work on cutting‑edge energy analytics projects.
• Comprehensive health, dental, and vision insurance.
• Generous retirement savings plan with employer matching.
• Significant investment in professional development and training.
• Access to state‑of‑the‑art data science tools and platforms.
• Be part of a dynamic and innovative company shaping the future of energy.