# Sr Data Scientist

**Company**: Electronic Arts
**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/pl_PL/careers/JobDetail/Sr-Data-Scientist/215733?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_199dd75f-065

## Description

Electronic Arts is seeking a Senior Data Scientist to join their Central Technology team, specifically within the Security division. The successful candidate will lead end-to-end data science initiatives to detect and prevent cheating, fraud, and other security threats.

Responsibilities:

- Lead data science initiatives from problem definition to model deployment and monitoring

- Design and develop statistical and machine learning models to detect security threats

- Build scalable features and detection frameworks using gameplay telemetry and player behavior data

- Investigate complex abuse patterns and translate insights into actionable recommendations

- Establish best practices for model evaluation and monitoring

- Collaborate with cross-functional teams to develop data-driven prevention strategies

- Mentor junior data scientists and promote reusable data science practices

Required Qualifications:

- 7+ years of experience in Data Science, Machine Learning, or a related field

- Strong proficiency in Python or R and advanced SQL

- Experience leading end-to-end machine learning projects

- Expertise building statistical or machine learning models using large-scale datasets

- Strong understanding of model evaluation and performance measurement

- Experience engineering features from complex datasets and translating business problems into analytical solutions

- Proven ability to partner cross-functionally with engineering and product teams

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

Preferred Qualifications:

- Experience in gaming, anti-cheat, trust & safety, or other adversarial environments

- Experience developing detection frameworks, risk scoring models, or anomaly detection systems

- Familiarity with gameplay telemetry, player behavior analytics, or live-service game operations

- Experience operationalizing ML solutions with cloud and data platforms

- Experience balancing detection effectiveness with player experience and business impact

## Skills

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

### Nice to have
- gameplay telemetry
- player behavior analytics
- anomaly detection
- graph analytics
- clustering
- sequence modeling
- human-in-the-loop review systems
- AWS
- GCP
- Spark
- Databricks
- Snowflake
- Kafka
- Airflow
- Kubernetes

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