Fraud Data Scientist - ML & Product Analytics

United States Digital Space LLC; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity

Commission

Job summary

United States Digital Space LLC is seeking a Data Scientist to join the Fraud Data team. You will analyze customer and network data, build dashboards and metrics, run backtests, and design scalable data models to enable reliable analysis and reporting across multiple customers and data partners.

Responsibilities include owning metrics and experiments to inform product strategy, collaborating with Product and Engineering to design and analyze experiments for new features, and communicating

Qualifications

• 3–5 years of relevant experience, including 2–3 years in product analytics, experimentation, or data-driven products.
• Strong proficiency in SQL and Python with experience analyzing complex datasets and translating insights into action.

Responsibilities

• Analyze customer and network traffic to understand fraud-related performance.
• Own metrics, dashboards, and experiments to inform product strategy.
• Design scalable data models and schemas for reliable analysis and reporting.
• Collaborate with Product and Engineering to design and analyze experiments for new customer-facing features.

Skills

SQL

Python

Product analytics

Experimentation

Job description

United States Digital Space LLC is seeking a Data Scientist to join the Fraud Data team. You will analyze customer and network data, build dashboards and metrics, run backtests, and design scalable data models to enable reliable analysis and reporting across multiple customers and data partners.

Responsibilities include owning metrics and experiments to inform product strategy, collaborating with Product and Engineering to design and analyze experiments for new features, and communicating