Remote Lead Data Scientist, Mineral Processing Optimization

Placements24; Kempton Park; Hybrid; ZAR 1.200.000 - 1.800.000; Vollzeit

Benefits dieser Stelle

Remote-friendly

Health insurance

Annual leave

Home office stipend

Equipment provided

Professional development

Zusammenfassung

Placements24 seeks a Remote Lead Data Scientist to drive mineral processing insights through advanced analytics. You will build and deploy predictive models, work with sensor data and lab results, and influence decision-making across global teams.

You should have a PhD or MSc and 8+ years in data science, including 3+ in leadership. Strong Python/R, ML, SQL, and cloud experience are required. This is a remote-first role in South Africa with competitive compensation.

Qualifikationen

• PhD or MSc in Data Science, CS, Stats, Math, Engineering or related field.
• 8+ years in data science with at least 3 in a lead/senior role.
• Proven ML experience (regression, classification, clustering, DL).
• Strong programming (Python/R) and SQL; experience with big data stacks.

Aufgaben

• Lead design, development, and deployment of advanced ML models for mineral processing optimization.
• Analyze large, diverse data sources to extract actionable insights.
• Develop predictive models for equipment failure and process variability.
• Collaborate with engineers, IT and metallurgists to integrate data science solutions.
• Design A/B tests to validate model performance and impact.
• Mentor junior data scientists and analysts.
• Communicate findings to technical and non-technical stakeholders.

Kenntnisse

Python

R

Machine learning

Statistics

Big data

Data visualization

Ausbildung

PhD or MSc

Tools

scikit-learn

TensorFlow

PyTorch

Tableau

Power BI

Matplotlib

Spark

Hadoop

SQL

Jobbeschreibung

Placements24 seeks a Remote Lead Data Scientist to drive mineral processing insights through advanced analytics. You will build and deploy predictive models, work with sensor data and lab results, and influence decision-making across global teams.

You should have a PhD or MSc and 8+ years in data science, including 3+ in leadership. Strong Python/R, ML, SQL, and cloud experience are required. This is a remote-first role in South Africa with competitive compensation.