# Sr Data Scientist

**Company**: Electronic Arts
**Location**: Austin, Texas
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: IT
**Industry**: Technology
**Ticker**: EA
**Wikidata**: https://www.wikidata.org/wiki/Q173941

**Apply**: https://jobs.ea.com/sv_SE/careers/JobDetail/Sr-Data-Scientist/215733?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_80eb09a4-e61

## Description

Electronic Arts is looking for a Senior Data Scientist to join their Central Technology team, specifically in the Security department. The successful candidate will lead end-to-end data science initiatives, design and develop statistical and machine learning models to detect cheating, fraud, and other emerging platform risks.

Responsibilities:

- Lead end-to-end data science initiatives, from problem definition and exploratory analysis through model development, evaluation, deployment, and monitoring.

- Design and develop statistical and machine learning models to detect cheating, fraud, account abuse, botting, suspicious gameplay, and other emerging platform risks.

- Build scalable features, risk signals, and detection frameworks using gameplay telemetry, player behavior, account, transaction, and operational data.

- Investigate complex abuse patterns, translate insights into models, rules, dashboards, and recommendations, and continuously improve detection quality by optimizing model performance and reducing false positives.

- Establish best practices for model evaluation, monitoring, drift detection, and impact measurement while partnering with engineering teams to productionize data science solutions.

- Collaborate with product, security, anti-cheat, fraud, game, and operations teams to develop data-driven prevention and enforcement strategies.

- Mentor junior data scientists, promote reusable data science practices, and communicate analytical findings, model tradeoffs, and business impact to technical and non-technical stakeholders.

Required Qualifications:

- 7+ years of experience in Data Science, Machine Learning, Applied Statistics, Fraud Detection, Security Analytics, Trust & Safety, or a related analytical field.

- Strong proficiency in Python or R and advanced SQL.

- Experience leading end-to-end machine learning projects from ambiguous problem definition through production deployment.

- Expertise building statistical or machine learning models using large-scale behavioral, transactional, telemetry, account, or security datasets.

- Strong understanding of model evaluation, including precision/recall tradeoffs, threshold optimization, calibration, false positives, monitoring, and model performance measurement.

- Experience engineering features from complex, multi-source datasets and translating business or security problems into scalable analytical solutions.

- Proven ability to partner cross-functionally with engineering, product, security, fraud, or operations teams to deliver production-ready models, dashboards, and decision-support tools.

- Experience mentoring technical teammates and effectively communicating complex analytical insights to diverse audiences.

Benefits:

- Comprehensive benefits package, including health insurance, mental wellness support, retirement savings, paid time off, family leave, free games, and more.

## Skills

### Required
- Python
- R
- SQL
- Machine Learning
- Data Science
- Fraud Detection
- Security Analytics

### Nice to have
- gaming
- anti-cheat
- trust & safety
- fraud prevention
- cybersecurity
- account abuse
- bot detection
- graph analytics
- clustering
- sequence modeling

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Source: [Apply at jobs.ea.com](https://jobs.ea.com/sv_SE/careers/JobDetail/Sr-Data-Scientist/215733?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)