Blockchain Data Scientist — Hybrid Role in Market Analytics

Placements24; Sandton; Hybrid; ZAR 780,000 - 1,200,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Placements24 is seeking a Blockchain Data Scientist to join our Sandton, Gauteng team. You will extract insights from blockchain transactions, build predictive models, and analyze market dynamics within the crypto ecosystem.

The role involves working with large datasets, applying advanced analytical techniques, and delivering data-driven insights to stakeholders. Collaboration with engineering and research teams in a hybrid work environment is expected.

Qualifications

• Master's or PhD in a quantitative field.
• Proven data analysis and modeling projects.
• Experience with large datasets and distributed computing (e.g., Spark).
• Proficiency in Python or R and libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Strong understanding of blockchain technology and on-chain data analysis.

Responsibilities

• Collect, clean, and process large volumes of blockchain data from various sources.
• Develop and implement ML models and statistical algorithms for on-chain data.
• Identify metrics, patterns, and anomalies in blockchain transactions.
• Create visualizations and reports to communicate insights to stakeholders.
• Collaborate with engineering and research teams to refine methodologies.
• Build predictive models for market trends and token movements.
• Stay updated on data science and blockchain analytics developments.
• Contribute to data infrastructure and tooling.
• Conduct exploratory data analysis to uncover opportunities.

Skills

Strong analytical skills

Education

Master's or PhD in Data Science, Statistics, Computer Science, Economics, or related quantitative field

Tools

Python

R

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

SQL

NoSQL

Spark

Tableau

Job description

Placements24 is seeking a Blockchain Data Scientist to join our Sandton, Gauteng team. You will extract insights from blockchain transactions, build predictive models, and analyze market dynamics within the crypto ecosystem.

The role involves working with large datasets, applying advanced analytical techniques, and delivering data-driven insights to stakeholders. Collaboration with engineering and research teams in a hybrid work environment is expected.