Remote Graduate Data Scientist: ML & Insights

Placements24; Sandton; Hybrid; ZAR 320,000 - 520,000; Full time

Benefits offered by this job

Competitive salary

Remote work

Mentorship

Conference attendance

Learning budget

Job summary

WhatJobs Direct is seeking a Graduate Data Scientist for a fully remote role, offering a flexible and dynamic environment. You will develop predictive models, analyze large datasets, and extract insights to drive data-driven decisions.

Ideal candidates hold a Master’s or PhD in a quantitative field, are proficient in Python or R, and can work independently with strong communication across distributed teams.

Qualifications

• Master's or PhD in Data Science, Computer Science, Statistics or Mathematics.
• Strong programming in Python or R with ML libraries.
• Solid understanding of statistical modeling and ML algorithms.
• Experience with SQL and large datasets.
• Proficient in data visualization tools.
• Excellent communication and remote collaboration skills.

Responsibilities

• Develop, train, and deploy machine learning models to solve business problems.
• Analyze large datasets to derive actionable insights.
• Perform data wrangling, cleaning and feature engineering.
• Design experiments to validate models and hypotheses.
• Visualize results for stakeholders and communicate findings.
• Collaborate with engineering to productionize data science solutions.
• Stay updated with advances in data science and ML.
• Contribute to data-driven strategies.

Skills

Python

R

Statistical modeling

Data analysis

Problem-solving

Education

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

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

SQL

Tableau

Job description

WhatJobs Direct is seeking a Graduate Data Scientist for a fully remote role, offering a flexible and dynamic environment. You will develop predictive models, analyze large datasets, and extract insights to drive data-driven decisions.

Ideal candidates hold a Master’s or PhD in a quantitative field, are proficient in Python or R, and can work independently with strong communication across distributed teams.