Blockchain Data Scientist

Placements24; Soweto; Hybrid; ZAR 600,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

Health benefits

Retirement plan

Professional development

Groundbreaking blockchain projects

Job summary

Placements24 in Soweto is seeking a highly analytical Blockchain Data Scientist to extract insights from on-chain and off-chain data, build predictive models, and inform strategic decisions within the crypto ecosystem. You will work with large datasets and communicate complex findings to technical and non-technical stakeholders.

The role offers opportunities to apply advanced analytics to real-world blockchain challenges, collaborate with product and engineering teams, and contribute to

Qualifications

• Proven experience as a Data Scientist with blockchain/cryptocurrency data analysis.
• Proficient in Python or R and libraries like Pandas, NumPy, Scikit-learn.
• Experience with SQL/NoSQL databases and data visualization tools.

Responsibilities

• Collect, clean, and process large volumes of blockchain and cryptocurrency data.
• Develop and implement advanced analytical models, machine learning algorithms, and statistical methods.
• Analyze on-chain data to understand user behavior, network activity, and transaction patterns.
• Build predictive models for market trends, asset performance, and potential risks.
• Visualize data and communicate complex findings and insights through reports and presentations.
• Collaborate with engineering and product teams to integrate data-driven insights into product development and strategy.

Skills

Python

R

Pandas

NumPy

Scikit-learn

SQL

NoSQL

Tableau

Matplotlib

Education

Master's or Ph.D. in Data Science/Statistics/CS

Tools

SQL

NoSQL

Tableau

Matplotlib

Job description

About the Role

Our client is seeking a highly analytical Blockchain Data Scientist to extract valuable insights from blockchain data in Soweto . This role involves leveraging advanced data science techniques to analyze on-chain and off-chain data, identify patterns, predict trends, and inform strategic decisions within the crypto and blockchain ecosystem. You will work with large datasets, develop predictive models, and communicate complex findings to technical and non-technical stakeholders. The ideal candidate is passionate about uncovering the hidden value within blockchain data and applying it to solve business challenges, working within an innovative and forward-thinking company culture.

Key Responsibilities

• Collect, clean, and process large volumes of blockchain and cryptocurrency data.
• Develop and implement advanced analytical models, machine learning algorithms, and statistical methods.
• Analyze on-chain data to understand user behavior, network activity, and transaction patterns.
• Build predictive models for market trends, asset performance, and potential risks.
• Visualize data and communicate complex findings and insights through reports and presentations.
• Collaborate with engineering and product teams to integrate data-driven insights into product development and strategy.

Requirements

• Proven experience as a Data Scientist, with a focus on blockchain or cryptocurrency data analysis.
• Strong proficiency in data analysis languages such as Python or R, and relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
• Experience with big data technologies and database management (SQL, NoSQL).
• Solid understanding of blockchain technology, smart contracts, and crypto-assets.
• Familiarity with data visualization tools (e.g., Tableau, Matplotlib).
• Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field, or equivalent experience in Soweto .

Benefits

• Competitive salary and performance-based bonuses.
• Opportunity to work on groundbreaking projects at the intersection of data science and blockchain .
• Comprehensive health and retirement benefits.
• Professional development and continuous learning opportunities.
• Be part of a team that is shaping the future of data insights in the decentralized world.