Data Science Intern

Electronic Arts builds higher levels of entertainment experiences, inspiring players and fans around the world. As a Data Science Intern, you will get hands-on experience developing custom machine learning models to tackle real-world challenges within EA's games.

Responsibilities:

• Work with Product Managers, senior engineers, and peers to understand requirements, prototype & build large-scale distributed applications
• Develop and implement custom machine learning models
• Clean, preprocess, and analyze large datasets, ensuring data quality and integrity
• Address and manage imbalanced datasets to optimize model performance
• Deploy and host machine learning models, ensuring their scalability and reliability in production environments
• Monitor and maintain models in production, implementing feedback loops for continuous improvement
• Identify and mitigate biases in models to ensure fairness and accuracy
• Collaborate with cross-functional teams to understand business needs and translate them into technical requirements
• Document processes and model performance, providing insights and recommendations

Qualifications:

• Bachelor's/master's degree in computer/software engineering, Computer Science or related concentration, equivalent and/or combination of education
• A solid foundation in Computer Science fundamentals, algorithms, design patterns, CI/CD processes, and data structures
• Proficiency in Python or R, with experience in libraries such as TensorFlow, PyTorch, or Scikit-learn
• Strong understanding of data preprocessing techniques and handling imbalanced datasets
• Familiarity with deploying models using cloud platforms (AWS, GCP, or Azure)
• Knowledge of model evaluation metrics and techniques to identify and reduce bias
• Excellent problem-solving skills and attention to detail
• Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders
• Good understanding of LLM architecture, fine-tuning, and training LLMs
• Robust understanding of AI agents
• Superb ability to take high-level direction, work through ambiguity and drive to execution in an iterative model
• Superb ability to translate business requirements into technical design & architecture
• Ability to communicate ideas clearly and effectively