Electronic Arts

Electronic Arts Inc. is a global leader in interactive entertainment. We develop games, content and online services across platforms. We have a broad portfolio of brands that span the most popular genres.

We exist to Inspire the World to Play. We create extraordinary new game experiences for our millions of players everywhere by bringing together experienced people that combine creativity, innovation, and passion. We celebrate diversity and inclusion and aim to create great experiences for our employees as often as our players. We're looking for people to come to the office or Zoom meeting excited to work and ready for some fun. The Associate Data Science engineer will report to Director Engineering responsible for Data & Insights. 

Join us in driving the next revolution in games.

Responsibilities:

• Perform exploratory data analysis (EDA) to identify trends, patterns, and opportunities within player, product, and business datasets.

• Query, clean, validate, and transform data from multiple sources to create reliable datasets for analysis and modeling.

• Apply statistical techniques and foundational machine learning methodologies to generate actionable business insights.

• Support experimentation, forecasting, and predictive modeling initiatives to help evaluate product features and business performance.

• Develop reports, dashboards, visualizations, and analytical tools that effectively communicate insights to technical and non-technical stakeholders.

• Translate business questions into analytical approaches and measurable outcomes in collaboration with product, marketing, and operational teams.

• Utilize SQL, Python, R, and other analytical tools to perform analysis and automate repeatable workflows.

• Contribute to the development, validation, and maintenance of analytical models and data products.

• Follow software development and analytics best practices, including documentation, version control, reproducibility, and peer reviews.

• Partner with data scientists, engineers, product managers, marketers, and analysts to support data-driven decision making.

• Communicate analytical findings, recommendations, and business implications clearly to stakeholders.

• Continuously learn and apply new analytical techniques, tools, and industry best practices to improve business outcomes.

Qualifications:

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative discipline.

• 0-3 years of experience in data science, analytics, business intelligence, or a related quantitative field.

• Foundational understanding of statistics, hypothesis testing, probability, and data analysis techniques.

• Experience with SQL and relational databases for data extraction and analysis.

• Familiarity with Python, R, or similar analytical programming languages.

• Basic understanding of machine learning concepts, model development, and evaluation techniques.

• Experience working with structured and unstructured datasets.

• Knowledge of data visualization and reporting tools (e.g., Tableau, Power BI, Looker, or similar).

• Ability to communicate analytical findings and recommendations to both technical and non-technical audiences.

• Strong problem-solving skills and attention to detail.

• Ability to work effectively in a collaborative, cross-functional environment.

Preferred Qualifications:

• Exposure to experimentation and A/B testing methodologies.

• Familiarity with cloud data platforms such as Snowflake, Databricks, AWS, Azure, or GCP.

• Experience working with large-scale datasets.

• Interest in gaming, player analytics, machine learning, or digital product analytics.

• Understanding of predictive modeling, forecasting, or customer behavior analytics.