Blockchain Data Scientist: Predictive Analytics (Hybrid)

Placements24; South Africa; Hybrid; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

Bonus

Health benefits

Hybrid work

Analytics tools

Career growth

Job summary

Placements24 is seeking an analytical and insightful Blockchain Data Scientist to join their pioneering team in Queenstown as a hybrid role. You will extract, analyze, and interpret data from blockchain networks to uncover trends, insights, and predictive models, informing business strategy and optimizing operations in the crypto space.

The ideal candidate has strong Python or R skills, proficiency in SQL, and a solid background in machine learning, statistics, and data visualization.

Qualifications

• Proven experience as a Data Scientist with blockchain data.
• Strong Python or R skills and data science libraries.
• Master's or Ph.D. in a quantitative field.

Responsibilities

• Collect, clean, and preprocess large datasets from various blockchain sources.
• Develop ML models for predictive analysis, anomaly detection, and trend forecasting.
• Analyze on-chain data to identify patterns in user behavior, transaction flows, and market dynamics.
• Visualize data and present complex findings to stakeholders.
• Collaborate with engineering and product teams to define data requirements and integrate analytical solutions.
• Stay current with the latest advancements in data science, machine learning, and blockchain analytics.

Skills

Python

R

SQL

Statistics

Data visualization

Machine learning

Pandas

NumPy

Scikit-learn

Blockchain analytics

Education

Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field

Tools

Pandas

NumPy

Scikit-learn

Job description

Placements24 is seeking an analytical and insightful Blockchain Data Scientist to join their pioneering team in Queenstown as a hybrid role. You will extract, analyze, and interpret data from blockchain networks to uncover trends, insights, and predictive models, informing business strategy and optimizing operations in the crypto space.

The ideal candidate has strong Python or R skills, proficiency in SQL, and a solid background in machine learning, statistics, and data visualization.