Senior E-commerce Data Scientist | Hybrid & High-Impact

Placements24; Randburg; Hybrid; ZAR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Highly competitive salary

Hybrid work model

Career development opportunities

Access to cutting-edge tools

Collaborative analytics team

Job summary

Placements24 in Randburg, Gauteng, seeks a Senior E-commerce Analyst & Data Scientist to drive data-led decisions across e-commerce platforms. You will build predictive models, create dashboards, and translate insights for marketing, product, and operations teams.

The ideal candidate has a strong quantitative background, 7+ years in data analysis and data science, proficiency in Python or R, SQL, and experience with ML, A/B testing, and data visualization tools. This is a hybrid role.

Qualifications

• Advanced degree in a quantitative field with a strong research background.
• 7+ years in data analysis and data science with e-commerce exposure.
• Proven experience building and deploying predictive models and ML algorithms.

Responsibilities

• Analyze large datasets to identify trends in customer behavior and sales.
• Develop predictive models to forecast demand and optimize marketing spend.
• Design and conduct A/B and multivariate tests for website changes.
• Create dashboards to visualize KPIs and present insights to stakeholders.
• Collaborate with marketing, product, engineering and operations to define analytical requirements.
• Mentor junior analysts and ensure data integrity across processes.

Skills

Python

SQL

R

Machine Learning

A/B Testing

Data Visualization

Pandas

Communication

Education

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

Tools

TensorFlow

Scikit-learn

Tableau/Power BI

Git

Job description

Placements24 in Randburg, Gauteng, seeks a Senior E-commerce Analyst & Data Scientist to drive data-led decisions across e-commerce platforms. You will build predictive models, create dashboards, and translate insights for marketing, product, and operations teams.

The ideal candidate has a strong quantitative background, 7+ years in data analysis and data science, proficiency in Python or R, SQL, and experience with ML, A/B testing, and data visualization tools. This is a hybrid role.