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Informazioni generali

Località: Hyderabad, Telangana, India 
ID del ruolo
212228
Tipo di dipendente
Regular Employee
Studio/Reparto
CT - Infrastructure & Platform
Modalità di lavoro flessibile
Hybrid

Description & Requirements

Electronic Arts crea esperienze di intrattenimento di livello superiore che ispirano giocatori e fan in tutto il mondo. Qui, tutti fanno parte della storia. Parte di una comunità che si connette in tutto il mondo. Un luogo dove la creatività prospera, vengono stimolate nuove prospettive e le idee contano. Una squadra in cui tutti possono giocare.

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!



Su Electronic Arts
Siamo orgogliosi di avere un ampio catalogo di giochi ed esperienze, sedi in tutto il mondo e opportunità in tutta EA. Diamo valore a adattabilità, resilienza, creatività e curiosità. Dalla leadership che esalta il tuo potenziale alla creazione di spazi per l'apprendimento e la sperimentazione, ti incoraggiamo a fare grandi lavori e a perseguire le opportunità di crescita.

Adottiamo un approccio olistico per i nostri programmi di benefit, enfatizzando il benessere fisico, emotivo, finanziario, lavorativo e collettivo a sostegno di una vita equilibrata. I nostri pacchetti sono pensati per soddisfare le esigenze locali e possono includere copertura sanitaria, assistenza per la salute mentale, risparmi per la pensione, permessi retribuiti, congedi familiari, giochi gratuiti e altro ancora. Creiamo ambienti in cui i nostri team possono sempre dare il meglio in ciò che fanno.

Electronic Arts è un datore di lavoro che rispetta le pari opportunità. Tutte le decisioni di impiego sono prese senza tenere conto di razza, colore, origine nazionale, discendenza, sesso, genere, identità o espressione di genere, orientamento sessuale, età, informazioni genetiche, religione, disabilità, condizione medica, gravidanza, stato civile, stato familiare, stato di veterano, o qualsiasi altra caratteristica protetta dalla legge. In conformità con le leggi vigenti, prendiamo in considerazione anche i candidati qualificati con precedenti penali. EA rende inoltre disponibili strutture lavorative per persone qualificate con disabilità, come richiesto dalle leggi vigenti.