Remote Graduate Data Scientist | ML & AI Research

Placements24; Randburg; Hybrid; ZAR 300,000 - 520,000; Full time

Benefits offered by this job

Stock options

Health insurance

Paid time off

Job summary

Placements24 seeks a highly intelligent Graduate Data Scientist for a fully remote role. You will work on AI and ML projects, handling large datasets, building predictive models, and extracting actionable insights to drive business value.

The role emphasizes strong statistical foundations, programming skills in Python or R, and collaboration within a globally distributed team. Remote-first environment offers mentorship and professional development opportunities.

Qualifications

• Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Strong foundation in statistical modeling, ML algorithms, and data mining techniques.
• Proficiency in Python or R and experience with Pandas/NumPy.
• Experience with ML frameworks (Scikit-learn, TensorFlow, PyTorch).
• Solid SQL and database experience.

Responsibilities

• Collect, clean, and preprocess large datasets.
• Develop, train, and evaluate ML models for prediction/classification.
• Conduct exploratory data analysis to uncover trends.
• Deploy models to production environments.
• Design experiments to test hypotheses and validate findings.
• Collaborate with engineers and product managers to integrate solutions.
• Communicate findings clearly to technical and non-technical audiences.
• Stay updated with data science advancements.

Skills

Problem solving

Analytical thinking

Remote collaboration

Independent work

Education

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

Tools

Python

R

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

SQL

Spark

Hadoop

Job description

Placements24 seeks a highly intelligent Graduate Data Scientist for a fully remote role. You will work on AI and ML projects, handling large datasets, building predictive models, and extracting actionable insights to drive business value.

The role emphasizes strong statistical foundations, programming skills in Python or R, and collaboration within a globally distributed team. Remote-first environment offers mentorship and professional development opportunities.