At a glance
- Employment
- Full-time
- Location
- Cary
About Epic Games
- Epic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent.
- Like what you hear? Come be a part of something Epic!
- Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here.
- Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here.
About the role
- Epic Games is seeking a Data Science Intern to join the Ecosystem Security team supporting initiatives related to fraud and abuse detection.
- You will own a detection problem as part of the development cycle, working with a data science mentor and operations analysts to explore data, build models, and measure impact.
Responsibilities
- Explore large transaction, account, gameplay, and behavioral datasets to characterize how a specific form of abuse actually works
- Build and evaluate statistical or machine learning models that detect abusive activity at scale
- Partner with operations analysts to translate their investigation heuristics into model features, and measure your results against real outcomes like confirmed cases and false positive rates
- Build dashboards or monitoring so the team can track your signal without an analyst in the loop
- Document your data sources, methodology, and findings so the work can be extended after your internship, and present your results to the team
Requirements
- Experience with Python for data analysis
- Ability to write SQL against large datasets to pull and shape your own data
- A grounding in statistics and machine learning fundamentals, including classification and evaluation metrics beyond accuracy
- A desire to develop strong data science and software development skills
- Genuine curiosity about adversarial problems, specifically how and why people find ways to game a system
- Good interpersonal and communication skills, with demonstrated ability to communicate technical findings within a team
- The ability to react and respond effectively to constructive feedback
- A flexible approach to rapidly evolving problems, and comfort working with messy or sparsely labeled data
- Applicants must be legally authorized to work in the posting location for the duration of the internship
Preferred qualifications
- Exposure to any of anomaly detection, graph or network analysis, text classification and NLP, or sequence and time-series modeling
- Interest in games, live services, or online trust and safety
Skills
- Python
- Pandas
- Scikit-learn
- SQL
- Anomaly Detection
- Graph Or Network Analysis
- Text Classification And NLP
- Sequence And Time-series Modeling
