Data Science Manager, Fraud

Plaid

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NYSeattleSan Francisco, CA
Salary
$216,000–$329,400 / yr
Posted
49 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $204k
This role $273k
$145k $349k
below market most similar roles pay here above market

This role pays more than 92% of similar roles. Most pay $176,268–$231,162 — the blue band above. At the midpoint, this role pays about $273k versus about $204k for comparable roles.

Based on 240 similar postings.

Employer

About Plaid

Plaid is a financial technology company that builds a data network powering digital finance applications, enabling consumers to securely connect their financial accounts to apps and services. Industry: Financial Technology & Data Infrastructure

Plaid currently has 71 open roles on FindRole.

Listed pay typically runs $190,800–$262,800 across 71 roles with salary data.

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View all roles at Plaid

At a glance

TL;DR · Data Science Manager, Fraud

JOB TITLE: Data Science Manager - Fraud The Data Science Manager - Fraud joins the Customer & Product Intelligence team within the Fraud organization. This role involves leading a team of data scientists to improve and scale fraud products by uncovering customer insights and enabling go-to-market teams with data-driven solutions. You will set a six-to-twelve-month roadmap, define product metrics, and establish repeatable processes for customer retrospectives and proofs of concept. Key responsibilities include reviewing analytical designs, data models, and code while identifying recurring fraud signals to develop scalable product capabilities. The role requires technical depth in Python, SQL, statistics, product analytics, and applied modeling. Candidates should possess domain expertise in fraud or risk, with experience in causal inference, graph-based data, model interpretability, and data transformation tools like dbt.

What does a Data Science Manager earn?

Median $211200 from 43 postings across 11 companies.

See salary data

What you'll do

  • Set a 6–12-month roadmap with Product, Engineering, and GTM teams to assign priorities and responsibilities.
  • Define product metrics, underlying data, and reporting practices to guide roadmap and investment decisions.
  • Establish repeatable processes for customer retrospectives, proofs of concept, and data evaluation methods.
  • Identify recurring fraud signals and work with MLEs to develop scalable product capabilities.
  • Review analytical designs, data models, code, and model evaluations while contributing to complex investigations.
  • Coach and develop data scientists through regular feedback, performance discussions, and growth opportunities.
  • Translate customer insights and fraud analyses into actionable product opportunities for GTM growth.

What we're looking for

  • Proven experience managing, mentoring, and developing high-performing data scientists.
  • Deep domain expertise in fraud, risk, or related areas.
  • Strong experience in product analytics, metric design, and measuring product performance.
  • Experience partnering directly with customers to deliver data-driven insights and solutions.
  • Strong technical depth in Python, SQL, statistics, product analytics, and applied modeling.
  • Demonstrated ability to set technical direction and deliver complex, high-impact initiatives while remaining hands-on.
  • Excellent communication and cross-functional collaboration skills across Product, Engineering, Machine Learning, GTM, and customer stakeholders.
  • Experience with graph-based data, causal inference, model interpretability, or dbt (preferred).

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