Electronic Arts Hiring For Data Science Intern Role. Interested Candidates can go through the details and apply using the link provided at the bottom of the Post.
Electronic Arts – Data Science Intern
| Company name | Electronic Arts |
| Website | www.ElectronicArts.com |
| Job Role | Data Science Intern |
| Work Location | Hyderabad, Telangana, India |
| Job Type | Full Time |
| Experience | Fresher |
| Qualification | Not mentioned |
| Batch | Not Mentioned |
| Package | As Per Company Standards |
Job Description
Electronic Arts – Data Science Intern
Role Overview
Join a dynamic, delivery-focused team where you will help design and implement data and machine learning solutions using Python. Your role involves writing high-quality code, handling and transforming large data assets, developing features, training and validating models, and working closely with senior engineers and architects to bring prototypes into production environments.
Key Responsibilities
- Develop reliable Python components and notebooks to support data ingestion, transformation, and model development using tools such as pandas, NumPy, and scikit-learn.
- Produce maintainable, well-tested code with strong OOP practices, type annotations, documentation, and unit/integration test coverage; actively engage in version-controlled development and code review processes.
- Investigate and analyze datasets to understand business problems, run EDA, formulate assumptions, and build useful visual and statistical summaries.
- Build, benchmark, and refine machine learning models—choosing the right metrics, validating results, and structuring experiments for trusted outcomes.
- Utilize SQL to extract, clean, and manipulate data while partnering in the development of dependable data pipelines that enable analytics and reporting.
- Present insights effectively through narratives, visualizations, and reproducible workflows, connecting outcomes to product and business goals.
- Promote engineering excellence by contributing to automation, documentation, and CI practices, consistently advocating for improvements in team workflows.
Core Skill Requirements
- Strong hands-on experience in Python for data analytics and ML development, including efficient code design, debugging techniques, and packaging fundamentals.
- Solid understanding of computer science principles such as data structures, algorithms, modular architecture, unit testing (e.g., pytest), and Git workflows.
- Foundation in machine learning and data science concepts including supervised models, regularization techniques, experimental design, feature preprocessing, and evaluation metrics such as AUC, F1, RMSE, and MAE.
- Practical statistical knowledge covering sampling approaches, hypothesis testing, probability distributions, confidence levels, and correct test interpretation.
- Proficiency in SQL for joins, aggregations, and query optimization, coupled with comfort using Git for collaborative development.
- Expertise in data cleaning, reshaping, handling irregularities, and creating clear visual/analytical summaries through libraries like matplotlib or Plotly.
- Strong analytical thinking with the ability to identify problems, run experiments, produce incremental improvements, and document reasoning clearly.
- Confident communication skills—capable of explaining complex topics to diverse audiences through concise reports and presentations.
Preferred Qualifications
- Familiarity with major data and cloud platforms such as Snowflake, BigQuery, Redshift, AWS, or Azure.
- Experience working with workflow orchestration tools like Airflow or Prefect and an understanding of batch versus streaming architectures.
- Additional engineering competencies including dependency management tools, linters/formatting pipelines, logging practices, and basic CLI utilities.
- Exposure to MLOps concepts such as model serialization, reproducible experiments, simple API deployment, and tracking solutions like MLflow or Weights & Biases.
- Knowledge of advanced modeling approaches such as gradient boosting, neural networks, recommender systems, or time-series forecasting.
- Experience with distributed data tools such as PySpark or Spark SQL and awareness of performance considerations.
- Ability to build insightful dashboards and stakeholder-friendly data stories using Streamlit or Plotly Dash.
- Algorithmic problem-solving experience through platforms like LeetCode or CodeChef.
- Working knowledge of additional programming languages or SQL variants; exposure to JVM-based or compiled languages is advantageous.
Electronic Arts – Software Engineer Intern
| Company name | Electronic Arts |
| Website | www.ElectronicArts.com |
| Job Role | Software Engineer Intern |
| Work Location | Hyderabad, Telangana, India |
| Job Type | Full Time |
| Experience | Fresher |
| Qualification | Pursuing bachelor’s degree in computer science |
| Batch | Not Mentioned |
| Package | As Per Company Standards |
Job Description
Electronic Arts – Software Engineer Intern
Responsibilities:
- Develop and integrate automation tools to enhance efficiency and streamline processes.
- Design, maintain, and optimize game call pattern simulation code using C++ or Scala to support applications and new features.
- Conduct stress and load testing by designing test cases, creating gameplay-based scenarios, and analyzing actual game logs to simulate realistic load conditions.
- Set up and manage complex distributed environments to execute performance tests and generate load simulations.
- Run tests and deliver precise reports with detailed analysis of outcomes.
- Diagnose and resolve performance, system, and network-related issues in test automation.
- Investigate and identify root causes of issues found during testing—distinguishing between test-related and system-level problems.
- Work collaboratively with team members to monitor, document, and resolve issues efficiently.
- Clearly communicate testing progress, outcomes, and challenges with stakeholders.
- Comply with all EA policies, non-disclosure agreements, and security protocols.
- Report issues promptly, communicate proactively, and handle multiple tasks with agility and ownership.
Qualifications:
- Currently pursuing a Bachelor’s degree in Computer Science or a related field.
- Proficient in one or more programming languages such as C++, Scala, or Python.
- Familiar with cloud platforms like AWS, GCP, or Microsoft Azure (AWS preferred).
- Understanding of scalable systems, platform architecture, and end-to-end system design.
- Strong analytical mindset and creative approach to solving technical challenges.
- Experience with visualization tools (e.g., Grafana) and database technologies such as MySQL or Redis.
- Capable of independent problem-solving, managing workload efficiently, delivering high-quality results, and demonstrating innovation and initiative.
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How to Apply?
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- Ensure that your contact information is correct and up-to-date, and accurately reflect your qualifications and experience.
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About Electronic Arts
Electronic Arts (EA) is a leading global video game company known for creating, publishing, and distributing interactive entertainment across consoles, PC, and mobile platforms. With a diverse portfolio of popular game franchises, EA combines innovative technology, engaging storytelling, and immersive gameplay experiences to connect millions of players worldwide. The company emphasizes creativity, collaboration, and cutting-edge development to deliver high-quality entertainment in the ever-evolving gaming industry.