Blockchain Data Scientist - Analytics & Insights

Placements24; Sandton; Hybrid; ZAR 900,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary

Performance-based bonuses

Health and wellness benefits

Professional development & training

Hybrid work arrangement

Job summary

Placements24 is seeking a Blockchain Data Scientist in Sandton, Gauteng to extract insights from blockchain datasets and develop predictive models. You will work on fraud detection, market insights, and data-driven decision making in a cutting-edge crypto environment.

The role requires advanced degree in a quantitative field and strong programming skills (Python or R) with data science libraries. A hybrid work setup in Sandton is offered with opportunities for professional growth and impact

Qualifications

• Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, or related quantitative field.
• Proven experience as a Data Scientist with a focus on blockchain data analysis.
• Proficiency in Python or R and libraries like Pandas, NumPy, Scikit-learn, TensorFlow.

Responsibilities

• Analyze large datasets from blockchain networks to identify trends and anomalies.
• Develop ML models for predictive analytics and fraud detection.
• Design experiments to test hypotheses related to blockchain ecosystems.
• Create data visualizations and dashboards for stakeholders.
• Collaborate with engineering and product teams to integrate data-driven features.
• Develop metrics and KPIs to measure blockchain protocol performance.
• Stay updated on data science, AI, and blockchain analytics trends.
• Process and clean raw blockchain data for analysis.
• Contribute to data infrastructure and analytics strategy.

Skills

Python

R

SQL

NoSQL

Tableau

Power BI

Matplotlib

Blockchain analytics

Data visualization

Strong analytical skills

Education

Master's degree

PhD in a quantitative field

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

Job description

About the Role

Our client, a leader in the **Crypto & Blockchain** industry, is seeking a highly analytical **Blockchain Data Scientist** to join their innovative team in **Sandton, Gauteng**. This role focuses on extracting actionable insights from complex blockchain data, developing predictive models, and contributing to strategic decision-making. You will leverage your expertise in data science, machine learning, and blockchain technology to uncover trends, identify opportunities, and mitigate risks. The ideal candidate is passionate about data-driven discovery and eager to apply their skills in a cutting-edge technological field. Join us in **Sandton** and help us unlock the potential of blockchain data.

Key Responsibilities

• Analyze large datasets from various blockchain networks to identify trends, patterns, and anomalies.
• Develop and implement machine learning models for predictive analytics, fraud detection, and market insights.
• Design and conduct experiments to test hypotheses related to blockchain ecosystems.
• Create data visualizations and dashboards to communicate complex findings to stakeholders.
• Collaborate with engineering and product teams to integrate data-driven features into applications.
• Develop metrics and KPIs to measure the performance of blockchain protocols and applications.
• Stay abreast of the latest advancements in data science, AI, and blockchain analytics.
• Process and clean raw blockchain data for analysis.
• Contribute to the technical strategy for data infrastructure and analytics.

Requirements

• Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Proven experience as a Data Scientist, with a strong focus on blockchain data analysis.
• Proficiency in programming languages such as Python or R, and relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow).
• Experience with SQL and NoSQL databases.
• Understanding of blockchain technology, including transaction structures and consensus mechanisms.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Strong analytical, statistical, and problem‑solving skills.
• Excellent communication and presentation abilities.
• Ability to work collaboratively in a hybrid team environment in **Sandton, Gauteng**.
• Familiarity with big data technologies is a plus.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health and wellness benefits.
• Opportunities for professional development, including advanced training and certifications.
• Work on challenging and impactful projects in the **Crypto & Blockchain** industry.
• Flexible hybrid work arrangement.
• Collaborative and intellectually stimulating work environment in **Sandton**.