Remote Graduate Data Scientist — R&D & ML Impact

Placements24; Upington; Hybrid; ZAR 320,000 - 540,000; Full time

Benefits offered by this job

Remote work

Professional development

Competitive salary

Job summary

Placements24 is seeking a postgraduate Data Scientist to join a pioneering, remote-first team. You will apply advanced analytics and ML techniques to real-world datasets, developing predictive models and data-driven insights from anywhere, including Upington, Northern Cape.

The role emphasizes independent work, collaboration with engineering and product teams, ongoing learning, and the opportunity to contribute to cutting-edge research while building scalable solutions for a remote organisation.

Qualifications

• Master's or Ph.D. in Data Science, Statistics, Mathematics, Computer Science or a related quantitative field.
• Strong foundation in statistical modeling and machine learning.
• Proficiency in Python or R with relevant libraries.
• Experience querying/manipulating data with SQL.
• Excellent analytical and communication skills.
• Ability to work independently in a remote setting.

Responsibilities

• Collect, clean, and transform large datasets from multiple sources.
• Develop and implement predictive models and ML algorithms.
• Design experiments to test hypotheses and validate models.
• Analyze data to extract actionable insights and present findings.
• Build data visualizations and dashboards for stakeholders.
• Collaborate with engineering and product teams to deploy models.

Skills

Statistical modeling

Machine learning

Data storytelling

Problem solving

Education

Master's or PhD in Data Science/Statistics/Math/CS

Tools

Python

R

SQL

Pandas/NumPy/Scikit-learn

Job description

Placements24 is seeking a postgraduate Data Scientist to join a pioneering, remote-first team. You will apply advanced analytics and ML techniques to real-world datasets, developing predictive models and data-driven insights from anywhere, including Upington, Northern Cape.

The role emphasizes independent work, collaboration with engineering and product teams, ongoing learning, and the opportunity to contribute to cutting-edge research while building scalable solutions for a remote organisation.