Senior AI/ML Data Scientist — Remote

Placements24; Durban; Hybrid; ZAR 2,001,000 - 3,001,000; Full time

Benefits offered by this job

Remote work

Flexible hours

Conference attendance

Home office setup support

Personal development days

Team events

Job summary

Placements24 is seeking a Senior Data Scientist for a fully remote position focused on AI and machine learning. You will work with a distributed team to build predictive models on large-scale data for a global client base.

The role requires a strong foundation in statistics, ML, and data engineering, with experience communicating across technical and non-technical stakeholders and mentoring junior data scientists.

Qualifications

• Advanced degree in a quantitative field with a strong data science foundation.
• 6+ years hands-on DS/ML experience with proven projects.
• Proficiency in Python or R and ML libraries; SQL in data systems.

Responsibilities

• Design and implement advanced ML models for business problems.
• Analyze large datasets using statistical methods and data mining.
• Prepare data pipelines and clean/preprocess data for modeling.
• Evaluate models for accuracy, scalability, and reliability.
• Collaborate with eng and product teams to deploy models.
• Translate complex findings for technical and non-technical stakeholders.
• Stay updated on AI/ML advances and best practices.
• Mentor junior data scientists and share knowledge.
• Contribute to knowledge base with insights and guidance.
• Maintain robust data workflows and documentation.

Skills

Data science

Machine learning

Python

SQL

R

Big data

Communication

Education

Master's or PhD in CS/Stats/Math

Tools

TensorFlow

PyTorch

Job description

Placements24 is seeking a Senior Data Scientist for a fully remote position focused on AI and machine learning. You will work with a distributed team to build predictive models on large-scale data for a global client base.

The role requires a strong foundation in statistics, ML, and data engineering, with experience communicating across technical and non-technical stakeholders and mentoring junior data scientists.