Remote Lead Data Scientist - Energy Analytics

Placements24; Klerksdorp; Hybrid; ZAR 1,800,000 - 2,400,000; Full time

Benefits offered by this job

Remote work

Private medical insurance

Retirement plan

Professional development budget

Home office setup support

Job summary

Placements24 is seeking a visionary Lead Data Scientist specializing in Energy Analytics to join a fully remote team. You will spearhead advanced models, guide a team of data scientists, and shape strategic direction in energy analytics from anywhere in South Africa.

You will lead predictive modeling, mentor the team, and collaborate with engineering, operations, and business development to translate insights into business impact. Strong energy analytics expertise is essential.

Qualifications

• Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field.
• 8+ years as a Data Scientist with at least 3 years in a leadership role.
• Proven expertise in building and deploying ML models for energy analytics or similar domains.
• Proficiency in Python or R and libraries (scikit-learn, TensorFlow, PyTorch).
• Experience with big data tech (Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Strong communication and presentation skills for non-technical audiences.

Responsibilities

• Lead design, development, and deployment of predictive models for energy forecasting and optimization.
• Mentor and manage a team of data scientists for high-quality output.
• Collaborate with engineering, operations, and business development to identify analytical challenges.
• Translate complex findings into clear, actionable recommendations for business leaders.
• Develop and maintain robust data pipelines and infrastructure for large energy datasets.
• Stay at the forefront of data science research and apply new techniques to business problems.

Skills

Leadership

People management

Data science leadership

Communication

Data modelling

Education

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

Tools

Python

R

scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

AWS

Azure

GCP

Job description

About the Role

Our client is looking for a visionary Lead Data Scientist specializing in Energy Analytics to join their fully remote team. In this critical role, you will spearhead the development and deployment of advanced analytical models to derive actionable insights from vast datasets related to energy production, consumption, and market trends. You will guide a team of data scientists, foster a culture of data-driven decision-making, and play a key role in shaping the company's strategic direction in the energy sector, irrespective of your physical location within South Africa .

Key Responsibilities

• Lead the design, development, and implementation of predictive models and machine learning algorithms for energy forecasting and optimization.
• Manage and mentor a team of data scientists, fostering their professional growth and ensuring high-quality output.
• Collaborate with stakeholders across engineering, operations, and business development to identify key analytical challenges and opportunities.
• Translate complex analytical findings into clear, concise, and actionable recommendations for business leaders.
• Develop and maintain robust data pipelines and infrastructure for large-scale energy datasets.
• Stay at the forefront of data science and machine learning research, applying new techniques to solve business problems.

Requirements

• Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field.
• Extensive experience (8+ years) as a Data Scientist, with at least 3 years in a leadership role .
• Proven expertise in building and deploying machine learning models for energy analytics or similar domains.
• Proficiency in programming languages like Python or R, and associated data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Exceptional communication and presentation skills, with the ability to explain complex concepts to non-technical audiences.

Benefits

• Highly competitive salary and substantial bonus potential.
• Flexible remote work environment with support for home office setup.
• Comprehensive private medical insurance and retirement plan.
• Generous budget for professional development, conferences, and training.
• Opportunity to lead innovation in the rapidly evolving energy analytics landscape.