Senior Blockchain Data Scientist — ML & On-Chain Analytics

Placements24; Randburg; On-site; ZAR 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Bonuses

Health benefits

Training opportunities

Cutting-edge tools

Retirement fund

Job summary

Placements24 is seeking a Senior Blockchain Data Scientist in Randburg to lead advanced data analysis on on-chain and off-chain data. The role requires 5+ years in data science, a strong quantitative background, and hands-on ML expertise.

You will develop models for transaction analysis, risk assessment, and fraud detection, and build scalable data pipelines while mentoring junior team members. This is a full-time position based in Gauteng.

Qualifications

• Master's or PhD in a quantitative field.
• 5+ years of professional data science experience.
• Experience with large datasets and distributed computing (Spark, Hadoop).
• Proficient in Python or R and ML libraries.
• Experience with SQL and NoSQL databases.
• Deep understanding of blockchain tech and on-chain data analysis.
• Excellent data visualization and communication skills.
• Must work full-time from Randburg office.

Responsibilities

• Analyze large-scale blockchain datasets to identify patterns and insights.
• Develop ML models for transaction analysis, risk, and fraud detection.
• Design and run A/B tests and experiments to evaluate features.
• Build data pipelines and ETL processes for blockchain data.
• Visualize data and communicate findings to technical and non-technical stakeholders.
• Collaborate with engineering and product teams to integrate insights.
• Stay updated with advances in data science, ML, and blockchain.
• Mentor junior data scientists and contribute to team growth.

Skills

Python

R

Pandas

Scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

SQL

NoSQL

Data visualization

Blockchain

Education

Master's or PhD in Data Science

Tools

Jupyter

Git

Airflow

Job description

Placements24 is seeking a Senior Blockchain Data Scientist in Randburg to lead advanced data analysis on on-chain and off-chain data. The role requires 5+ years in data science, a strong quantitative background, and hands-on ML expertise.

You will develop models for transaction analysis, risk assessment, and fraud detection, and build scalable data pipelines while mentoring junior team members. This is a full-time position based in Gauteng.