Data Scientist, Blockchain Intelligence — Production-Ready Pipelines

Merkle Science; Town of Belgium (WI); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Flexible time off

Health insurance

Learning & development initiatives

Job summary

Merkle Science is looking for a data scientist to develop and implement clustering and attribution heuristics for on-chain cryptocurrency data. This role requires expertise in Python and SQL, and offers a high degree of ownership with minimal bureaucracy in a supportive team environment.

You'll work with cutting-edge technologies like Databricks and Kafka, analyzing billions of transactions to ensure compliance and investigations are effectively supported.

The company offers excellent health benefits, flexible time off, and industry-leading compensation, along with growth opportunities.

Qualifications

• 4+ years of experience in data science or data engineering.
• Comfortable with large datasets and proficient in handling joins and deduplication.
• Ability to validate results and understand precision vs. coverage.

Responsibilities

• Design and ship clustering and attribution heuristics.
• Own data processes end to end, involving cleaning and modeling on-chain datasets.
• Investigate and address edge cases in transaction data.

Skills

Strong Python

SQL

Clustering

Graph/network analysis

Self-directed problem solving

Tools

Databricks

Kafka

TigerGraph

GCP

Job description

Merkle Science is looking for a data scientist to develop and implement clustering and attribution heuristics for on-chain cryptocurrency data. This role requires expertise in Python and SQL, and offers a high degree of ownership with minimal bureaucracy in a supportive team environment.

You'll work with cutting-edge technologies like Databricks and Kafka, analyzing billions of transactions to ensure compliance and investigations are effectively supported.

The company offers excellent health benefits, flexible time off, and industry-leading compensation, along with growth opportunities.