Remote Senior Data Scientist - Energy Sector

Placements24; Sandton; Hybrid; ZAR 1,999,000 - 2,999,000; Full time

Benefits offered by this job

Remote work flexibility

Annual performance bonus

Stock options

Comprehensive health insurance

Professional development budget

Challenging, impactful projects

Job summary

Placements24 is seeking a Senior Data Scientist to join our innovative team on a fully remote basis. You will develop ML models for energy forecasting, extract and clean large energy datasets, and design experiments to validate model performance.

Collaboration with engineers and domain experts will drive data-driven solutions and strategic impact. The ideal candidate has 6+ years in data science, strong Python or R skills, knowledge of Spark/Hadoop and SQL, and excellent communication abilities

Qualifications

• Master's or PhD in CS/ Statistics/ Mathematics or related field.
• Minimum 6 years of professional Data Science experience focusing on predictive modeling.
• Proficiency in Python or R and associated libraries (scikit-learn, TensorFlow, PyTorch).
• Experience with big data technologies (Spark, Hadoop) and SQL.
• Strong statistical foundations and experimental design.
• Excellent communication and independent working capabilities.

Responsibilities

• Develop and implement advanced ML models for energy forecasting and optimization.
• Extract, clean, and transform large energy-related datasets.
• Design experiments to test hypotheses and validate model performance.
• Collaborate with domain experts and engineers to define data-driven solutions.
• Communicate complex findings to technical and non-technical stakeholders.
• Mentor junior data scientists and contribute to best practices.

Skills

Predictive modeling

Machine learning

Experiment design

Data wrangling

Communication

Education

Master's or Ph.D. in a quantitative field

Tools

Python

R

scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

SQL

Job description

About the Role

Our client is looking for an exceptional Senior Data Scientist to join their innovative team on a fully remote basis, supporting operations that impact the energy sector. This role is crucial for leveraging vast datasets to uncover insights, build predictive models, and drive data-informed strategies. You will work with cutting-edge machine learning techniques and big data technologies to solve complex challenges within the energy domain, contributing to smarter energy management and distribution. This is a unique opportunity for a data expert to make a significant impact from anywhere.

Key Responsibilities

• Develop and implement advanced machine learning models for energy forecasting, anomaly detection, and optimization.
• Extract, clean, and transform large datasets from various energy-related sources.
• Design and conduct experiments to test hypotheses and validate model performance.
• Collaborate with domain experts and engineers to define data-driven solutions.
• Communicate complex findings and recommendations to technical and non-technical stakeholders.
• Mentor junior data scientists and contribute to the team's best practices.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 6 years of professional experience as a Data Scientist, with a strong focus on predictive modeling and machine learning.
• Proficiency in programming languages such as Python or R, and associated data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
• Strong understanding of statistical concepts and experimental design.
• Excellent communication and problem-solving skills, with the ability to work independently.

Benefits

• Highly competitive salary and remote work flexibility.
• Annual performance bonus and stock options.
• Comprehensive health, dental, and vision insurance.
• Generous budget for professional development, including conferences and online courses.
• Opportunity to work on challenging, impactful projects in a dynamic industry.