Senior Data Scientist - Real-Time Blockchain Analytics & ML

CertiK; New York (NY); On-site; USD 90,000 - 120,000; Full time

Job summary

CertiK in New York is seeking a Data Scientist to build and maintain ETL pipelines and analyze large-scale blockchain data for risk detection. The role demands a Master’s degree in Data Science or Statistics and requires strong expertise in machine learning and statistical modeling.

The ideal candidate will collaborate cross-functionally to develop scalable data solutions, utilizing platforms like AWS and Spark, ensuring data quality and enabling real-time analytics for strategic insights.

Qualifications

• Master’s degree in Data Science, Statistics, or a related field.
• Expertise in analyzing graph/text-based or transactional data.
• Familiar with cloud platforms (AWS/Azure/GCP) & Spark-based systems.

Responsibilities

• Build/maintain ETL pipelines for real-time analytics.
• Analyze large-scale blockchain datasets for risk indicators.
• Collaborate with teams to create data-driven solutions.

Skills

Machine-learning techniques

Statistical modeling

Data analysis

Feature engineering

Python

SQL

ETL tools

Education

Master’s degree in Data Science or Statistics

Tools

AWS

Azure

GCP

Spark

Apache Airflow

Job description

CertiK in New York is seeking a Data Scientist to build and maintain ETL pipelines and analyze large-scale blockchain data for risk detection. The role demands a Master’s degree in Data Science or Statistics and requires strong expertise in machine learning and statistical modeling.

The ideal candidate will collaborate cross-functionally to develop scalable data solutions, utilizing platforms like AWS and Spark, ensuring data quality and enabling real-time analytics for strategic insights.