Fraud Data Science Manager — Lead Product Analytics

Talanto; New York, Northern (NY, KY); Hybrid; USD 140,000 - 200,000; Full time

Job summary

Talanto is seeking a Data Science Manager to lead a team responsible for customer-facing data science and Fraud product analytics. You will set the team's roadmap, mentor data scientists, and stay involved in analytical methods and investigations.

You will define product metrics, data pipelines, and reporting practices; establish retrospective proofs of concept, identify recurring fraud signals, review designs and code, and collaborate with Product, Engineering, ML, GTM, and customer

Qualifications

• Proven experience managing and developing data scientists.
• Deep domain expertise in fraud, risk, or related areas.
• Strong product analytics, metric design, and measuring product performance.
• Experience partnering with customers to deliver data-driven insights.

Responsibilities

• Set a 6–12-month roadmap with Product, Engineering, and GTM, and assign priorities and responsibilities across the team.
• Define product metrics, their underlying data, and reporting and alerting practices; use results in roadmap and investment decisions.
• Establish a repeatable process for customer retrospectives and proofs of concept, including data checks, evaluation methods, and clear recommendations.
• Identify fraud signals and product opportunities that recur across customer analyses and work with Product and MLEs to develop them.
• Review analytical designs, data models, code, and model evaluations; contribute directly to investigations where your expertise is needed.
• Coach data scientists through clear expectations, regular feedback, performance discussions, and growth opportunities.
• Use AI-assisted analysis and development tools where useful, and ensure results are properly reviewed before informing customer recommendations or product decisions.
• Define how ’s 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

Python

SQL

Statistics

Product analytics

Applied modeling

Cross-functional collaboration

Communication

Tools

dbt

Job description

Talanto is seeking a Data Science Manager to lead a team responsible for customer-facing data science and Fraud product analytics. You will set the team's roadmap, mentor data scientists, and stay involved in analytical methods and investigations.

You will define product metrics, data pipelines, and reporting practices; establish retrospective proofs of concept, identify recurring fraud signals, review designs and code, and collaborate with Product, Engineering, ML, GTM, and customer