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Información general

Ubicaciones: Hyderabad, Telangana, India 
ID del rol
212228
Tipo de trabajador
Regular Employee
Estudio/Departamento
CT - Infrastructure & Platform
Acuerdo de trabajo flexible
Hybrid

Description & Requirements

Electronic Arts crea experiencias de entretenimiento increíbles que inspiran a personas jugadoras y fans de todo el mundo. Aquí, todo el mundo es parte de la historia. Parte de una comunidad que conecta a gente de todo el mundo. Un lugar en el que la creatividad prospera, se invita a nuevas perspectivas y las ideas importan. Un equipo en el que todo el mundo hace posible el juego.

Data scientist III - EADP Gameplay Services 

 

We Are EA

 

We’re EA—the world’s largest video game publisher. You’re probably familiar with many of our titles—Madden, EA Sports FC, The Sims, Need for Speed, Dead Space, Battlefield and Star Wars, to name a few. But maybe you don’t know how we’re committed to creating games for every platform—from social to mobile to console —to give our players that anytime, anywhere access they demand. What does that mean for you? It means more opportunities to unleash your computing genius.

 

Opportunity Ahead

 

Our platform powers online features for EA’s games, serving millions of users each day. We live, breathe, and dream about how we can make every player’s multiplayer experience memorable. We develop services and SDKs in collaboration with EA’s game studios for matchmaking, stats and leaderboards, achievements, game replays, VOIP, and game networking. 

 

Our primary mission is to enrich the player’s gaming experience by meticulously optimizing the matchmaking process. We believe that effective matchmaking is the cornerstone of any successful multiplayer gaming experience, and we are committed to perfecting this aspect of our service. We continuously reflect and probe various elements to ensure the player’s gaming encounters are both fun and challenging

 

As a Data Scientist III at EADP Gameplay Services, you will report to Senior Engineering Manager and have below key responsibilities.

 

Key Responsibilities                                                                                                                                                                      

  • Analyse complex matchmaking datasets to identify patterns, trends, and opportunities that drive data-informed business decisions.
  • Perform data exploration, mining, and feature engineering to create high-quality datasets for model development.
  • Ensure data integrity and governance through robust validation, preprocessing, and quality assurance processes.
  • Own model lifecycle including retraining, validation, performance monitoring, and scalability improvement.
  • Define experimentation strategy (A/B testing, causal inference) and measure impact on core gameplay KPIs
  • Partner with product, business, and engineering to identify new data acquisition opportunities.
  • Create reusable analytical tools, libraries, and metrics that enable data-driven decisions.
  • Collaborate with data engineers and software engineer across teams to serve their data needs.
  • Evangelise data as a first-class citizen through documentation, standards, and reviews.

Must Have Skills

 

  • Bachelor’s or master’s degree in computer science, Data Science, AI/ML, Statistics, or a related field (or equivalent professional experience)
  • 5+ years of experience in data science, analytics, or ML engineering with a strong record of deploying scalable ML solutions.
  • Solid understanding of statistical modelling, including probability distributions, regression analysis, and hypothesis testing.
  • Strong understanding of experimentation design and A/B testing frameworks
  • Expert proficiency in Python frameworks (PyTorch, Scikit-learn).
  • Experience with model monitoring and drift detection
  • Experience in handling large-scale and high-dimensional datasets using distributed data processing tools (Spark, Snowflake, Databricks).
  • Strong communication skills with the ability to translate complex models into business impact.

 

Desirable Skills

 

  • Experience in gaming analytics or player behaviour modelling
  • Experience building recommendation or ranking systems
  • Experience with cloud platforms (AWS/GCP/Azure)

 

What’s in it for you? Glad you asked!

We love to brag about our great perks like Global fitness program, Sodexo (Food Coupons), Parental Insurance & Medical, Accident & life insurance and since we realise it takes world-class people to make world-class games, we offer competitive compensation packages and a culture that thrives off creativity and individuality. At EA, we live the “work hard/play hard” credo every day.

 

Don’t Just Play It – Create It!



Acerca de Electronic Arts
Nos llena de orgullo tener una extensa cartera de juegos y experiencias, ubicaciones por todo el mundo y oportunidades en EA. Valoramos la adaptabilidad, la resiliencia, la creatividad y la curiosidad. Desde un liderazgo que saca tu potencial hasta la creación de un espacio para aprender y experimentar, te animamos a hacer un trabajo fantástico y buscar oportunidades de crecimiento.

Adoptamos un enfoque integral con nuestros programas de beneficios, centrándonos en el bienestar físico, emocional, financiero, profesional y de la comunidad para apoyar una vida equilibrada. Nuestros paquetes están personalizados para satisfacer las necesidades locales y pueden incluir seguro médico, apoyo para el bienestar mental, plan de pensiones, días libre pagados, permisos familiares, juegos gratuitos y mucho más. Fomentamos entornos en los que nuestros equipos siempre pueden dar lo mejor de sí mismos en lo que hacen.

Electronic Arts ofrece igualdad de oportunidades. Todas las decisiones laborales se toman sin tener en cuenta la raza, el color de piel, el país de origen, la ascendencia, el sexo, el género, la identidad de género o su expresión, la orientación sexual, la edad, la información genética, la religión, la discapacidad, las enfermedades, los embarazos, el estado civil, la situación familiar, la situación militar o cualquier otra característica que quede bajo el amparo de la ley. También tenemos en cuenta solicitudes cualificadas con antecedentes penales, de conformidad con la ley vigente. Además, EA adapta el espacio de trabajo para gente cualificada con discapacidades según lo que exige la ley.