Remote Lead Data Scientist: ML Strategy & Impact

Placements24; Centurion; Hybride; ZAR 2 314 000 - 3 636 000; Plein temps

Avantages offerts par ce poste

Stock options

Fully remote work

Health insurance

Professional development budget

Conference attendance

Résumé du poste

Placements24 is seeking a Remote Lead Data Scientist to spearhead advanced analytics initiatives from a home office. You will lead a team of data scientists, shape the data strategy, mentor talent, and translate insights into business value across the organization.

This fully remote role involves developing ML models, guiding data roadmaps, collaborating with engineering and product teams, and communicating complex results to technical and non-technical stakeholders.

Qualifications

• Master's degree or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 8+ years of experience in data science, with a proven track record of leading projects and teams.
• Expertise in machine learning techniques, statistical modeling, and data mining.
• Proficiency in Python or R, and libraries such as TensorFlow, PyTorch, scikit-learn.

Responsabilités

• Lead and mentor a team of data scientists, fostering a collaborative and innovative environment.
• Develop, implement, and deploy advanced machine learning models and algorithms.
• Define the data science roadmap and prioritize projects based on business impact.
• Collaborate with engineering and product teams to integrate data science solutions into production systems.
• Analyze large, complex datasets to extract meaningful insights and drive strategic decisions.

Connaissances

Team leadership

Communication skills

Problem solving

Data analysis

Formation

Master's degree or PhD in Computer Science/Statistics/Mathematics

Outils

Python

R

TensorFlow

PyTorch

scikit-learn

Spark

Hadoop

AWS/Azure/GCP

Description du poste

Placements24 is seeking a Remote Lead Data Scientist to spearhead advanced analytics initiatives from a home office. You will lead a team of data scientists, shape the data strategy, mentor talent, and translate insights into business value across the organization.

This fully remote role involves developing ML models, guiding data roadmaps, collaborating with engineering and product teams, and communicating complex results to technical and non-technical stakeholders.