Blockchain Data Scientist: On-Chain Analytics & ML

Placements24; Polokwane; On-site; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Competitive salary

Performance bonus

Medical + retirement benefits

Professional growth

Conferences

Polokwane work location

Job summary

Placements24 in Polokwane, Limpopo, seeks a Blockchain Data Scientist to extract insights from on-chain data and develop predictive models. You will collaborate with product and engineering teams to deliver data-driven solutions in a cutting-edge blockchain analytics space.

The ideal candidate has a Master's/PhD in a quantitative field, 3+ years of data science experience, and proficiency in Python or R with TensorFlow, PyTorch, or Scikit-learn. Blockchain knowledge is essential.

Qualifications

• Master's or Ph.D. in a quantitative field (Data Science, Statistics, CS, Math).
• 3+ years of hands-on data science experience with large datasets.
• Proficiency in Python or R and ML frameworks.
• Strong knowledge of SQL, Pandas and NumPy; blockchain familiarity preferred.

Responsibilities

• Analyze large-scale blockchain datasets to identify patterns and anomalies.
• Develop ML models for predictive analytics, anomaly detection, and risk assessment on-chain.
• Design experiments to test hypotheses and evaluate algorithms.
• Visualize data findings and communicate with technical and non-technical audiences.
• Collaborate with engineering to build data pipelines and infrastructure.
• Apply advanced statistical techniques to blockchain data and stay updated on field advances.
• Contribute to data-driven products and services in a fast-evolving space.

Skills

Data Science Experience

Python

R

ML Frameworks

SQL/Pandas/NumPy

Blockchain Knowledge

Communication

Team Collaboration

Education

Master's/PhD in Data Science

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

Placements24 in Polokwane, Limpopo, seeks a Blockchain Data Scientist to extract insights from on-chain data and develop predictive models. You will collaborate with product and engineering teams to deliver data-driven solutions in a cutting-edge blockchain analytics space.

The ideal candidate has a Master's/PhD in a quantitative field, 3+ years of data science experience, and proficiency in Python or R with TensorFlow, PyTorch, or Scikit-learn. Blockchain knowledge is essential.