Remote Senior Data Scientist — ML & Analytics Leader

Placements24; Klerksdorp; Remote; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Home office budget

Remote-first culture

Professional development budget

Job summary

Placements24 is seeking a Senior Data Scientist to join a remote-first fintech team. The role focuses on building and deploying ML models, conducting data exploration, and delivering actionable insights to stakeholders across the organization.

You will work with large datasets, use cutting-edge algorithms, and mentor junior data scientists while maintaining ethical use of data. Strong communication and collaboration with product and engineering teams are essential.

Qualifications

• Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, or related field.
• 6+ years of professional data science experience with emphasis on ML and statistical modeling.
• Proficiency in Python or R and data science libraries (Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
• Strong SQL skills; NoSQL knowledge is a plus.

Responsibilities

• Lead design, development, and deployment of ML models and advanced analytics.
• Prepare data via cleaning, transformation, and feature engineering on large datasets.
• Develop predictive models for customer behavior, fraud detection, and risk assessment.
• Perform EDA to uncover trends and insights; communicate results effectively.

Skills

Python

R

SQL

Machine Learning

Data Visualization

Education

Master's or PhD in Data Science/related quantitative field

Tools

Scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

Job description

Placements24 is seeking a Senior Data Scientist to join a remote-first fintech team. The role focuses on building and deploying ML models, conducting data exploration, and delivering actionable insights to stakeholders across the organization.

You will work with large datasets, use cutting-edge algorithms, and mentor junior data scientists while maintaining ethical use of data. Strong communication and collaboration with product and engineering teams are essential.