Blockchain Data Scientist

Placements24

Richards Bay

Hybrid

ZAR 900,000 - 1,400,000

Full time

5 days ago
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Benefits offered by this job

Competitive salary
Health and wellness benefits
Opportunities for professional growth
Access to analytics tools
Hybrid work model
Conference attendance

Job summary

Placements24 in Richards Bay, KwaZulu-Natal, seeks a Blockchain Data Scientist to extract insights from blockchain data, build models, and create dashboards. You will collaborate with product and engineering teams, design experiments, and stay current with crypto analytics; hybrid work with in-office in Richards Bay.

The role requires a strong blend of data science expertise, programming skills, and a solid understanding of blockchain technology.

Qualifications

  • Master's or Ph.D. in Data Science, Statistics, Computer Science, Economics, or a related quantitative field.
  • 4+ years of experience as a Data Scientist, with blockchain or cryptocurrency data analysis.
  • Proficient in Python or R and data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow).
  • Strong knowledge of SQL/NoSQL and big data platforms (Spark).
  • Experience with data visualization tools (Tableau, Power BI, Matplotlib).
  • Familiarity with blockchain concepts, transaction structures, and on-chain analytics.
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to work in a hybrid environment based in Richards Bay, KwaZulu-Natal.

Responsibilities

  • Collect, clean, and process large, complex datasets from various blockchain networks.
  • Develop and implement statistical models and machine learning algorithms to analyze blockchain transactions, user behavior, and market trends.
  • Identify KPIs and create dashboards and reports to visualize data insights.
  • Collaborate with product and engineering teams to integrate data-driven insights into product development and strategic planning.
  • Design and conduct experiments to test hypotheses and evaluate the effectiveness of blockchain strategies.
  • Perform predictive modeling to forecast market movements, user adoption, and network growth.
  • Communicate findings and recommendations effectively to both technical and non-technical stakeholders.
  • Stay abreast of the latest advancements in data science, machine learning, and blockchain analytics.
  • Contribute to the development of data infrastructure and tooling.

Skills

Blockchain analytics
Statistical modeling
Data visualization
Critical thinking
Communication skills

Education

Master's or PhD in a quantitative field

Tools

Python
R
Pandas
NumPy
Scikit-learn
TensorFlow
SQL
NoSQL
Spark
Tableau
Power BI
Matplotlib

Job description

About the Role

Our client, a rapidly expanding analytics firm specializing in the blockchain and cryptocurrency markets, is seeking a talented Blockchain Data Scientist to join their innovative team in **Richards Bay, KwaZulu-Natal**. This role is ideal for individuals passionate about extracting meaningful insights from complex blockchain data. You will be responsible for developing sophisticated models, performing advanced statistical analysis, and creating data visualizations to inform business strategy and product development. The position requires a strong blend of data science expertise, programming skills, and a solid understanding of blockchain technology. This is a fantastic opportunity to work with vast datasets and contribute to cutting-edge analysis within the dynamic crypto space. We are looking for a curious and analytical mind that can uncover hidden patterns and trends. The role offers a flexible hybrid work model, combining the benefits of in-office collaboration with remote work convenience. Join us in deciphering the complex world of blockchain data.

Key Responsibilities
  • Collect, clean, and process large, complex datasets from various blockchain networks.
  • Develop and implement statistical models and machine learning algorithms to analyze blockchain transactions, user behavior, and market trends.
  • Identify key performance indicators (KPIs) and create dashboards and reports to visualize data insights.
  • Collaborate with product and engineering teams to integrate data-driven insights into product development and strategic planning.
  • Design and conduct experiments to test hypotheses and evaluate the effectiveness of blockchain strategies.
  • Perform predictive modeling to forecast market movements, user adoption, and network growth.
  • Communicate findings and recommendations effectively to both technical and non-technical stakeholders.
  • Stay abreast of the latest advancements in data science, machine learning, and blockchain analytics.
  • Contribute to the development of data infrastructure and tooling.
Requirements
  • Master's or Ph.D. in Data Science, Statistics, Computer Science, Economics, or a related quantitative field.
  • Proven experience (4+ years) as a Data Scientist, with specific experience analyzing blockchain or cryptocurrency data.
  • Proficiency in programming languages such as Python or R, and expertise in data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow).
  • Strong understanding of database technologies (SQL, NoSQL) and big data platforms (e.g., Spark).
  • Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
  • Familiarity with blockchain concepts, transaction structures, and on-chain analytics.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong communication and presentation skills.
  • Ability to work effectively in a **hybrid** environment based in **Richards Bay, KwaZulu-Natal**.
Benefits
  • Competitive salary and performance-based incentives.
  • Comprehensive health and wellness benefits package.
  • Opportunities for professional growth and attending industry conferences.
  • Access to powerful data analytics tools and platforms.
  • Collaborative and intellectually stimulating work environment.
  • Hybrid work model providing a balance between office and remote work.
  • Be part of a company shaping the future of blockchain data analysis.
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