Remote Data Scientist: ML, Experiments & Insights

Placements24; Pretoria; Hybrid; ZAR 700,000 - 1,100,000; Full time

Benefits offered by this job

Industry-leading salary

Health insurance

Flexible work arrangements

Conference opportunities

Job summary

Placements24 in Pretoria is seeking a highly analytical Data Scientist to join our expanding analytics team. You will uncover actionable insights from complex datasets, build predictive models, and drive data-informed decision-making across the organization.

You will collaborate with stakeholders, use Python or R, and work with Spark/Hadoop. This role offers flexible arrangements and opportunities to attend leading data science conferences, shaping strategies and business outcomes.

Qualifications

• Master's or Ph.D. in Statistics, Computer Science, Mathematics, or a related quantitative field.
• 3+ years of professional experience as a Data Scientist or in a similar analytical role.
• Strong proficiency in Python or R for data analysis and machine learning.
• Experience with Scikit-learn, TensorFlow, or PyTorch.

Responsibilities

• Collect, clean, and preprocess large datasets from various sources.
• Develop, train, and evaluate machine learning models for prediction, classification, and clustering.
• Design and conduct A/B tests to measure impact of product changes and marketing initiatives.
• Visualize data and model results using Matplotlib, Seaborn, or Tableau to communicate findings effectively.
• Collaborate with engineering and product teams to deploy models into production.
• Stay up-to-date with the latest research in data science and ML.

Skills

Statistical modeling

Experimental design

Data mining techniques

Education

Master's or Ph.D. in Statistics, Computer Science, Mathematics, or a related quantitative field

Tools

Python

R

Scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

SQL

Job description

Placements24 in Pretoria is seeking a highly analytical Data Scientist to join our expanding analytics team. You will uncover actionable insights from complex datasets, build predictive models, and drive data-informed decision-making across the organization.

You will collaborate with stakeholders, use Python or R, and work with Spark/Hadoop. This role offers flexible arrangements and opportunities to attend leading data science conferences, shaping strategies and business outcomes.