Remote Junior Data Scientist — Growth, Impact & Learning

Placements24; Klerksdorp; Hybrid; ZAR 240,000 - 480,000; Full time

Benefits offered by this job

Fully remote

Professional development

Equipment provided

Flexible schedule

Job summary

Placements24 is seeking a remote Junior Data Scientist to join our innovative team in South Africa. You will analyze diverse datasets, build statistical models, and apply ML techniques to drive data-driven decisions from anywhere in SA.

You will collaborate with product managers, engineers, and analysts to translate complex data into actionable insights, and you will contribute to experiments, visualization, and data infrastructure improvements.

Qualifications

• Bachelor's or Master's in a quantitative field.
• Proficiency in Python or R.
• Experience with Pandas/NumPy and ML frameworks.
• Strong communication and remote-work ability.

Responsibilities

• Collect, clean, and preprocess large datasets from various sources.
• Develop and implement statistical models and machine learning algorithms.
• Perform exploratory data analysis to identify trends and patterns.
• Visualize data and present findings to technical and non-technical audiences.
• Assist in designing and conducting A/B tests and experiments.
• Collaborate with engineering teams to deploy models into production.
• Stay up-to-date with advancements in data science and ML.
• Contribute to improvement of data infrastructure and processes.

Skills

Python

R

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

Data visualization

Communication

Education

Bachelor's or Master's in Data Science or related quantitative field

Tools

TensorFlow

PyTorch

Tableau

Job description

Placements24 is seeking a remote Junior Data Scientist to join our innovative team in South Africa. You will analyze diverse datasets, build statistical models, and apply ML techniques to drive data-driven decisions from anywhere in SA.

You will collaborate with product managers, engineers, and analysts to translate complex data into actionable insights, and you will contribute to experiments, visualization, and data infrastructure improvements.