Senior ML Scientist — Remote, Growth & Impact

Placements24; Soweto; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Remote work

Health insurance

Conference attendance

Professional growth

Job summary

Placements24 in South Africa seeks a Senior Data Scientist to lead ML initiatives from anywhere in the country. You will design, train, and deploy models that drive business insights and product development, working with large datasets and cutting-edge libraries.

The role emphasizes rigorous statistical methods, experimentation, and collaboration with engineers and stakeholders, with fully remote flexibility and opportunities for research, conferences, and professional growth.

Qualifications

• Master's or Ph.D. in Statistics, Computer Science, Mathematics, or a related quantitative field.
• 5+ years of professional experience in data science or machine learning.
• Proficiency in Python or R and libraries such as TensorFlow, PyTorch, scikit-learn.
• SQL experience and handling large datasets.
• Strong foundation in statistical modeling, ML algorithms, and data mining.
• Experience deploying ML models into production environments.

Responsibilities

• Develop, train, and deploy machine learning models to solve complex business problems.
• Perform advanced statistical analysis, data mining, and exploratory data analysis.
• Design and implement A/B tests and other experiments to validate hypotheses.
• Collaborate with engineering teams to integrate ML models into production systems.
• Communicate complex findings to technical and non-technical stakeholders.
• Stay current with the latest research in ML and data science.

Skills

Statistical modeling

Data mining

Experiment design

ML fundamentals

Stakeholder communication

Education

Master's or PhD in Statistics/CS/Math

Tools

Python

R

SQL

TensorFlow

PyTorch

scikit-learn

Job description

Placements24 in South Africa seeks a Senior Data Scientist to lead ML initiatives from anywhere in the country. You will design, train, and deploy models that drive business insights and product development, working with large datasets and cutting-edge libraries.

The role emphasizes rigorous statistical methods, experimentation, and collaboration with engineers and stakeholders, with fully remote flexibility and opportunities for research, conferences, and professional growth.