You will develop and maintain low-latency APIs and microservices for real-time experiment assignment and player targeting at scale.
You will develop contextual analytics systems (batch and real-time processing pipelines) that inform on important metrics, detect anomalies, and forecast future results.
You will partner closely with DS, DA, and DE teams to platformize, package, and automate statistical or Machine Learning methodologies (e.g., A/B/n testing, variance reduction, causal inference, and metrics calculation).
You will standardize behavioral event schemas, configuration models, and metadata contracts across diverse game titles.
You will promote the value of the LCM platform, by providing in-depth data insights into players' engagement with content across live channels.
Qualifications
Master's degree or foreign degree equivalent in Computer Science, Electrical Engineering, or a related field.
3+ years of experience in software development building data-intensive systems, distributed backend services, or platform APIs.
Strong experience collaborating with Data Science, Data Analytics, or Machine Learning teams to productionize analytical models or algorithms.
Solid conceptual understanding of A/B testing, hypothesis testing, and core statistical mechanisms. Experience with machine learning is required.
Expertise in Python and at least one compiled language (such as Java, Go, or Scala), along with advanced SQL skills.
Experience with distributed data frameworks (like Spark or Trino) and modern Lakehouse/Data Warehouse solutions (like Snowflake, Databricks, or Redshift).
Familiarity with cloud services (AWS preferred), containerization (Docker/Kubernetes), and pipeline workflow orchestrators (like Airflow).
Strong cross-functional collaboration and communication across regions/time zones.
Gaming industry experience or familiarity with game telemetry data is a strong plus.
Ability to work effectively in a global, cross-functional environment, with strong English communication skills to participate in international meetings, collaborate with global teams, and prepare clear and professional documentation in English.
About Electronic Arts
We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.
We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
