Remote Lead Data Scientist, Energy Analytics & Strategy

Placements24; Gqeberha; Hybrid; ZAR 1,200,000 - 2,100,000; Full time

Benefits offered by this job

Private healthcare

Retirement annuity

Remote-friendly

International conferences

Advanced computing resources

Global impact

Job summary

Placements24 seeks a Lead Data Scientist to lead an analytics team and drive advanced modeling initiatives from a remote base. You will mentor juniors, shape data strategy, and develop predictive models for energy datasets, market trends, and customer engagement.

The role requires 7+ years in data science, a PhD or Master’s in a quantitative field, and strong leadership and communication skills. Flexible remote work with international conference opportunities.

Qualifications

• PhD or Master’s in Data Science, CS, Statistics, Mathematics or related field.
• 7+ years of professional data science experience with leadership of complex projects.
• Proficiency in Python or R and ML libraries (scikit-learn, TensorFlow, PyTorch).
• SQL and handling large databases with data pipelines.
• Energy sector data experience is highly advantageous.
• Excellent communication and leadership capabilities.

Responsibilities

• Lead and mentor a team of data scientists on analytics projects.
• Develop predictive models, optimization algorithms, and data strategies.
• Oversee data collection, cleaning, and preprocessing pipelines.
• Collaborate with stakeholders to translate problems into data science projects.
• Present insights and recommendations with clear visualizations.

Skills

Leadership

Mentoring

Communication

Problem solving

Data storytelling

Statistical thinking

Team collaboration

Education

PhD or Master’s in Data Science/Quantitative field

Tools

Python

R

SQL

TensorFlow

PyTorch

Job description

Placements24 seeks a Lead Data Scientist to lead an analytics team and drive advanced modeling initiatives from a remote base. You will mentor juniors, shape data strategy, and develop predictive models for energy datasets, market trends, and customer engagement.

The role requires 7+ years in data science, a PhD or Master’s in a quantitative field, and strong leadership and communication skills. Flexible remote work with international conference opportunities.