Fraud Data Science Manager (Product Analytics)

United States Digital Space LLC; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Equity or equity-like compensation

401(k) plan

Job summary

United States Digital Space LLC is seeking a Data Science Manager to lead the Fraud Data team and shape analytics for fraud products. You will set roadmaps, mentor data scientists, and work hands-on with analyses, models, and customer investigations.

You will collaborate with Product, Engineering, ML, GTM and customer stakeholders to drive measurable impact, develop metrics, and deliver data-driven recommendations for go-to-market strategies.

Qualifications

• Proven experience managing, mentoring, and developing high-performing data scientists.

Responsibilities

• Define how the company measures, evaluates, and improves the performance of its Fraud products.
• Apply fraud expertise, product analytics, and customer-facing data science to drive end-to-end product and business impact.
• Translate customer insights and fraud analyses into scalable product capabilities and opportunities for GTM growth.
• Lead and develop a high-performing team while remaining technically hands-on with critical analyses and initiatives.
• Raise the bar for product metrics, analytical rigor, and the data foundations that power decision-making across Fraud.

Skills

Team leadership

Fraud domain expertise

Product analytics

Customer-facing analytics

Python

SQL

Statistics

Applied modeling

Technical direction

Cross-functional collaboration

Communication

Experimentation & evaluation

Graph data & interpretability (nice-to

Tools

dbt

Job description

United States Digital Space LLC is seeking a Data Science Manager to lead the Fraud Data team and shape analytics for fraud products. You will set roadmaps, mentor data scientists, and work hands-on with analyses, models, and customer investigations.

You will collaborate with Product, Engineering, ML, GTM and customer stakeholders to drive measurable impact, develop metrics, and deliver data-driven recommendations for go-to-market strategies.