Ai Data Scientist: Ml, Predictive Analytics (Pe)

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

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Our client is seeking an analytical and insightful Blockchain Data Scientist to join their pioneering team in Queenstown . This hybrid role will involve extracting, analyzing, and interpreting vast amounts of data from blockchain networks to uncover trends, insights, and predictive models. You will play a key role in informing business strategy, identifying opportunities, and optimizing operations within the crypto and blockchain space. This is an exciting opportunity to apply advanced data science techniques to a complex and rapidly evolving field in the Eastern Cape .

About the Role

Our client is seeking an analytical and insightful Blockchain Data Scientist to join their pioneering team in Queenstown . This hybrid role will involve extracting, analyzing, and interpreting vast amounts of data from blockchain networks to uncover trends, insights, and predictive models. You will play a key role in informing business strategy, identifying opportunities, and optimizing operations within the crypto and blockchain space. This is an exciting opportunity to apply advanced data science techniques to a complex and rapidly evolving field in the Eastern Cape .

Key Responsibilities

• Collect, clean, and preprocess large datasets from various blockchain sources.
• Develop and implement machine learning 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 in a clear and understandable manner 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.

Requirements

• Proven experience as a Data Scientist , with experience working with blockchain data.
• Strong proficiency in programming languages such as Python or R, and data science libraries (e.g., Pandas, NumPy, Scikit-learn).
• Expertise in SQL and experience with various database technologies.
• Solid understanding of statistical modeling, machine learning algorithms, and data visualization techniques.
• Familiarity with blockchain technologies, cryptocurrencies, and on-chain data analysis is essential.
• Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field.

Benefits

• Competitive salary and performance-based bonus structure.
• Comprehensive health and wellness benefits.
• Hybrid work model that promotes work-life balance.
• Access to state-of-the-art analytical tools and datasets.
• Opportunities for professional growth and development in a specialized field.