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Data Scientist, Antifraud

higgsfieldaiAlmaty, KazakhstanEngineering & Product
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Salary
Not listed
Job type
Full-time
Experience
Mid
Posted
30 Sept 2026
Status
Open · checked 7d ago

About this role

In Almaty, Kazakhstan, the Data Scientist, Antifraud role at Higgsfield AI involves owning the account-abuse scoring system and prevention infrastructure, and this position suits a data scientist with expertise in fraud detection and unit economics within an adversarial setting.

Role Overview

Based in Almaty, Kazakhstan, this position focuses on protecting generative AI video creation infrastructure from industrial-scale abuse, account farms, and promotional grant harvesting. The professional in this role will own the strategy for distinguishing between genuine heavy users and malicious actors to prevent compute resource drain.

Key Responsibilities

Own the account-abuse scoring system end to end, covering signals, weights, thresholds, monitoring, and recalibration.
Build early-detection mechanisms that catch abuse at checkout or before compute is consumed.
Combine linkage analysis and economic consumption metrics to prevent false positives among high-volume legitimate users.
Find fraud rings involving shared payment instruments, IP and ASN concentration, and behavioural fingerprints without relying on a device fingerprint.
Design graduated, reversible enforcement actions like rate-limiting, step-up verification, and holds while managing a strict false-positive budget.
Quantify the financial value of the system in terms of avoided COGS, net of destroyed revenue and support costs.
Monitor for adversarial adaptation and model decay on raw event, payment, and generation data.

Requirements

Experience building abuse, fraud, or trust-and-safety detection that took action on real users, including payments fraud, promo abuse, multi-accounting, account takeover, or marketplace abuse.
Genuine understanding of adversarial settings, counterparty response, and limitations of offline AUC on censored label sets.
Strong SQL and Python skills on raw event data without help, including joins, window functions, and cohort replay.
Familiarity with gradient boosting and the judgment to choose simple rules over complex models when appropriate.
Comfort with graph and linkage thinking such as connected components and shared-attribute clustering.
Precision-first evaluation instincts focusing on precision at operating points and cost-weighted error.
Unit-economics literacy covering gross margin per account and compute costs.
Clear written and spoken English at a B2+ level.

Skills and Tools

SQL
Python
BigQuery
Gradient Boosting
Stripe Radar

Salary and Benefits

Competitive salary in USD
Equity participation in the company's stock option program
Relocation support including flight and temporary housing
Flat organizational structure

About the Company

Higgsfield AI operates as a generative AI company building AI-powered video creation and creative tools.
The company powers hundreds of Fortune 500 brands and serves millions of users worldwide with high daily generations.

How to Apply

Candidates should apply directly on the official company careers page.

Skills and tech stack

Questions candidates ask

Where is this job located?

This role is on-site in Almaty, Kazakhstan.

What tools and programming languages are required?

The role requires working with SQL, Python, and BigQuery on raw event, payment, and generation data.

Does the position offer relocation support?

Yes, relocation support includes a flight and temporary housing.

What compensation is provided beyond salary?

The position includes competitive salary in USD and participation in the company's stock option program.

What is the primary focus of the Data Scientist, Antifraud?

The focus is owning the account-abuse scoring system end to end, detecting fraud early to save compute resources, and separating malicious operators from unprofitable legitimate pricing plans.

Ready to apply?

The application is on the official higgsfieldai careers page.

Apply on company site