Remote Data Scientist - Energy Analytics

Placements24; Durban; Hybrid; ZAR 1,000,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary

Fully remote

Private health insurance

Professional development budget

Job summary

Placements24 is seeking a talented Remote Data Scientist to join their energy analytics team in South Africa. You will develop ML models, analyze large energy datasets, and deliver insights to guide strategic decisions in a fully remote setup.

Applicants should hold a Master’s or PhD and have 5+ years of experience with Python/R, ML libraries, SQL, and big data tools. You’ll collaborate across teams and contribute to impactful energy projects.

Qualifications

• Master's or PhD in Data Science, Statistics, CS, Physics or related field.
• 5+ years of data science experience with a focus on energy analytics or related industry.
• Proficiency in Python or R with common data science libraries.
• Strong SQL skills and experience with big data tools (Spark, Hadoop).
• Solid understanding of statistical modeling, ML algorithms and data viz.

Responsibilities

• Develop and implement advanced ML models for energy forecasting, anomaly detection, and predictive maintenance.
• Analyze large, complex energy datasets to extract actionable insights and drivers.
• Design and build data pipelines for data collection, cleaning, and processing.
• Visualize findings and communicate recommendations through reports and dashboards.
• Collaborate with engineering and business teams to define data-driven strategies.
• Stay updated on the latest advances in data science and energy analytics.

Skills

Python

R

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

SQL

Spark

Hadoop

Data Visualization

Machine Learning

Communication

Education

Master's or PhD in Data Science/Statistics/CS/Physics

Tools

Spark

Hadoop

TensorFlow

PyTorch

Job description

About the Role

Our client is actively seeking a talented Remote Data Scientist to join their innovative team, focusing on Energy Analytics . This fully remote position allows you to work from anywhere in South Africa , contributing to groundbreaking insights within the energy sector. You will leverage advanced statistical and machine learning techniques to analyze vast datasets, identify trends, and develop predictive models that drive strategic decisions. This role is crucial for optimizing energy production, consumption, and market forecasting, supporting the company's mission to lead in the evolving energy landscape .

Key Responsibilities

• Develop and implement advanced machine learning models for energy consumption forecasting, anomaly detection, and predictive maintenance.
• Analyze large, complex datasets from various energy sources to extract actionable insights and identify key performance drivers.
• Design and build data pipelines for efficient data collection, cleaning, and processing.
• Visualize and communicate complex findings and recommendations to both technical and non-technical stakeholders through compelling reports and dashboards.
• Collaborate with engineering and business teams to define data-driven strategies and solutions.
• Stay abreast of the latest advancements in data science, machine learning, and energy analytics .

Requirements

• Master's or PhD in Data Science, Statistics, Computer Science, Physics, or a related quantitative field.
• Proven experience (5+ years) in data science, with a strong background in energy analytics or a related industry.
• Expertise in programming languages such as Python or R, and associated data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Proficiency with SQL and experience working with large-scale databases and big data technologies (e.g., Spark, Hadoop).
• Strong understanding of statistical modeling, machine learning algorithms, and data visualization techniques.
• Excellent communication and collaboration skills, with the ability to work effectively in a remote team environment.

Benefits

• Highly competitive salary and potential for performance-based incentives.
• Fully remote work arrangement with flexibility in working hours.
• Comprehensive private health insurance and retirement planning options.
• Generous budget for professional development, online courses, and conference attendance.
• Opportunity to work on challenging and impactful projects within the dynamic energy sector .