Remote Graduate Data Scientist - AI & ML Research

Placements24; Bloemfontein; Hybrid; ZAR 420,000 - 640,000; Full time

Benefits offered by this job

Remote work flexibility

Continuous learning opportunities

Collaborate with world-class AI teams

Job summary

Placements24 is seeking a highly analytical Graduate Data Scientist to join a fully remote team focused on AI and ML research. The role involves building predictive models, processing large datasets, and collaborating with global researchers.

A strong mathematical background and proficiency in Python or R are essential. Ideal candidates hold a Master’s or PhD in a quantitative field, and have experience with ML frameworks such as TensorFlow or PyTorch.

Qualifications

• Master's or PhD in Data Science or related quantitative field.
• Strong knowledge of ML algorithms and statistical modeling.
• Proficiency in Python or R with relevant libraries.
• Experience with data wrangling and SQL querying.
• Excellent analytical and communication skills.
• Ability to work independently in a remote setting.

Responsibilities

• Develop and implement ML models and algorithms.
• Process, clean, and transform large datasets.
• Perform statistical analyses and data mining.
• Design experiments to test hypotheses and evaluate models.
• Collaborate with engineers to productionize models.
• Visualize results for technical and non-technical audiences.
• Stay updated on ML/AI advancements.
• Document methodologies and findings thoroughly.
• Contribute to data-driven products and solutions.
• Participate in virtual team discussions.

Skills

Python

R

Data analysis

Statistical modeling

Communication

Independent work

Education

Master's or PhD in Data Science

Quantitative field (CS/Statistics/Math)

Tools

TensorFlow

PyTorch

scikit-learn

pandas

NumPy

SQL

Job description

Placements24 is seeking a highly analytical Graduate Data Scientist to join a fully remote team focused on AI and ML research. The role involves building predictive models, processing large datasets, and collaborating with global researchers.

A strong mathematical background and proficiency in Python or R are essential. Ideal candidates hold a Master’s or PhD in a quantitative field, and have experience with ML frameworks such as TensorFlow or PyTorch.