Data Science Intern

hace 5 días

Madrid, España Electronic Arts A tiempo completo

**General Information**:
**Locations**: Madrid, Spain
- Location: Madrid
- Country: Spain
- Role ID
- 201950
- Worker Type
- Intern - Temporary Employee
- Studio/Department
- EA Studios - Localization
- Flexible Work Arrangement
- Hybrid

**Description & Requirements**:

- We are a global team of creators, storytellers, technologists, experience originators, innovators and so much more. We believe amazing games and experiences start with teams as diverse as the players and communities we serve. At Electronic Arts, the only limit is your imagination.

**Role to start on Monday 27th January**

As an intern at EA, you will work closely with our team to ensure the coherence, functionality, and quality of the data solutions we deliver. To identify and resolve defects you will review dashboards, data models, and algorithms, ensuring they meet our high standards of accuracy and consistency. You will gain experience in QA processes, collaborate with data scientists, analysts, and engineers, and contribute to improving the localization efforts across EA.

**Responsibilities**:

- Review and ensure the quality of dashboards (e.g., PowerBI) and data visualizations for internal stakeholders
- Perform functional and unit tests for each deployment as well as final checks on data integrity across our systems, ensuring consistency and coherence
- Collaborate with data scientists, analysts, and engineers to identify and troubleshoot potential issues in data solutions
- Support the development of automated QA processes for data pipelines and models
- Provide insights and recommendations to enhance the reliability of our data solutions
- Document test results and create detailed bug reports to communicate QA findings and present results to team members and stakeholders

**Qualifications**:

- Pursuing a degree in Data Analytics, Data Science, or a related STEM field
- Strong analytical skills and attention to detail
- Experience with Power BI, Excel and SQL
- Familiarity with machine learning models and their validation processes
- Basic understanding of agile methodology, software testing principles and methodologies
- Knowledge of **Python**:

- A strong interest in **Quality Assurance** for data projects
- Excellent communication skills and the ability to work collaboratively across teams
- A passion for gaming and data-driven solutions is a plus
- Experience with Jira and Confluence is a plus
- Proficiency in English

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