Data Science Intern

Job Title: Data Science Intern Company: Electronic Arts Job Category: Data Science Roles & Responsibilities: Role ID Studio/Department EA’s Digital Platform (EADP) organization is responsible for driving critical technology decisions and investments for EA on a global scale, across all divisions and studio teams. Technology and engineering leadership at EA is critical to making the industry’s best games & services and the EADP team is leading the way to providing cross-platform services that will keep our consumers connected with our games anytime, anywhere with anyone. 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. Work Location: Hyderābād, India Availability: Full time

### Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. 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. Key Skills: Data Science, Python, Machine Learning, Scikit-learn Salary: Not disclosed