CultureMill Recruiting

About the company:

We’re partnering with the team behind one of the most widely used fantasy sports and gaming platforms who serve millions of passionate users & is backed by top-tier investors. Their product is mobile-first, socially driven, & scaling fast across new game formats and user communities.

 

About the Role

We’re hiring a Senior Data Scientist to build & scale fraud detection systems for a high-growth, transaction-heavy consumer platform.

 

This role sits at the intersection of data science, engineering, and operations. You’ll own the end-to-end development of data pipelines, risk signals, and models that identify fraudulent behavior, strengthen onboarding integrity, as well as enabling faster response from internal teams.

 

This is not a traditional analyst role; You’ll work hands-on with raw event data, build real-time systems, as well as create tools that empower non-technical teams to detect and mitigate fraud.

 

What You’ll Do

* Surface fraud/abuse patterns earlier through better data and signal design
* Reduce time to detection and mitigation by enabling internal teams with the right tools
* Build scalable data systems that turn raw events into actionable insights
* Shape onboarding and user flows to minimize risk without adding unnecessary friction
* Continuously improve models and systems as user behavior evolves

 

Must-Have Qualifications

* 4+ years of experience in data science, machine learning, or applied analytics
* Strong hands-on experience with Python and SQL
* Experience working with event-based data and real-time systems _(e.g., Kafka, Spark, Airflow)_
* Background in building models _(classification, anomaly detection, clustering)_ and iterating on performance

 

Nice to Have

* Experience in fraud, risk, trust & safety, or abuse detection
* Experience in high-volume transaction environments _(e.g., gaming, fintech, marketplaces)_
* Familiarity with tools like Firebase, Amplitude, or Retool
* Experience building internal tools or workflows for operational teams

Data

Data Science

Game Engine Development

Machine Learning

Python

Game Design

Firebase

Operations

Data Pipelines

Data analytics

Apache Spark

User flows

FinTech

Apache Kafka

SkySpark

Airflow

AMPL

Retool

Sr. Data Scientist, Fraud & Platform Integrity