# Data Science Intern

**Company**: Electronic Arts
**Location**: Hyderabad, Telangana
**Work arrangement**: hybrid
**Job type**: internship
**Category**: IT
**Industry**: Technology
**Ticker**: EA
**Wikidata**: https://www.wikidata.org/wiki/Q173941

**Apply**: https://jobs.ea.com/zh_CN/careers/JobDetail/Data-Science-Intern/215937?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_a8c747f9-c63

## Description

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

## Skills

### Required
- Python
- R
- TensorFlow
- PyTorch
- Scikit-learn
- Machine Learning
- Data Science
- Cloud Platforms
- LLM Architecture
- AI Agents

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Source: [Apply at jobs.ea.com](https://jobs.ea.com/zh_CN/careers/JobDetail/Data-Science-Intern/215937?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)