Data Scientist

CoinCortex Finance; United States; Hybrid; USD 110,000 - 145,000; Full time

Job summary

CoinCortex Finance turns on-chain and off-chain activity into financial decisions. As Data Scientist, you will design models, features, and analyses that improve routing quality, risk signals, treasury insight, and internal operations.

You will work with product, engineering, and client teams to convert blockchain and business data into production-grade metrics and recommendations. Clarity and reliability matter as much as model sophistication.

Qualifications

• Strong Python or R skills and experience with SQL.
• Hands-on machine learning in production or research settings.
• Ability to explain methods and results to non-technical stakeholders.
• Experience with time-series, graph, or financial datasets preferred.
• Familiarity with blockchain data or payments systems a plus.

Responsibilities

• Analyze transaction, treasury, and operational datasets to find decision-useful patterns.
• Build and validate models for routing, risk, forecasting, or client analytics.
• Partner with engineering to productionize features and monitoring.
• Present findings in language operators and executives can use.
• Maintain data quality checks, documentation, and reproducible workflows.

Skills

Python/R

SQL

ML in production

Explain results

Time-series / finance

Blockchain analytics

Job description

CoinCortex Finance turns on-chain and off-chain activity into financial decisions. As Data Scientist, you will design models, features, and analyses that improve routing quality, risk signals, treasury insight, and internal operations.

You will work with product, engineering, and client teams to convert blockchain and business data into production-grade metrics and recommendations. Clarity and reliability matter as much as model sophistication.

• Department: Data
• Type: Full-time
• Location: Remote / Hybrid
• Salary range: $110,000 – $145,000

What you will do

• Analyze transaction, treasury, and operational datasets to find decision-useful patterns
• Build and validate models for routing, risk, forecasting, or client analytics
• Partner with engineering to productionize features and monitoring
• Present findings in language operators and executives can use
• Maintain data quality checks, documentation, and reproducible workflows

Requirements

• Strong Python or R skills and experience with SQL
• Hands‑on machine learning or statistical modeling in a production or research setting
• Ability to explain methods and results to non‑technical stakeholders
• Experience with time‑series, graph, or financial datasets preferred
• Familiarity with blockchain data, on‑chain analytics, or payment systems a plus