Senior/Staff Data Scientist - Measurement, Experimentation & Causal Inference

sonyinteractiveentertainmentglobal·Londonsenior

En corto

→Científico de datos senior que crea métodos avanzados para medir impacto de productos en PlayStation.
→Trabaja con experimentos aleatorizados, inferencia causal y machine learning para decisiones basadas en evidencia.
→Destaca por influir en decisiones estratégicas a nivel global con metodologías de medición de vanguardia.

Fluency in English is required.

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¿Qué piden?

✓Experiencia sólida en inferencia causal y diseño de experimentos.
✓Capacidad para desarrollar metodologías de medida avanzadas en contextos donde los experimentos no son posibles.
✓Conocimiento profundo de técnicas estadísticas y de machine learning aplicadas.
✓Habilidades para liderar técnicamente y promover mejores prácticas en equipos multi-disciplinarios.
✓Experiencia colaborando con equipos de producto, ingeniería y análisis.
✓Proyectos demostrables de impacto en decisiones comerciales o de producto.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

A/B testingCausal inferenceQuasi-experimental methodsStatistical modelingMachine learningAIExperimentation platformData scienceProduct analyticsBusiness impact measurement

¿A quién escribirle en sonyinteractiveentertainmentglobal?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: As a Senior / Staff Data Scientist, you will help shape how PlayStation measures the impact of products, features and commercial initiatives through world-class experimentation, causal inference and applied data science. Working at the intersection of data science, machine learning, product and commercial strategy, you will develop innovative measurement methodologies, define best practices, and provide technical leadership that enables teams across PlayStation to make faster, more confident business decisions. This role goes beyond traditional A/B testing. You will solve complex measurement problems where controlled experiments are difficult or impossible, applying modern causal inference, statistical modelling and machine learning techniques to generate robust business insights. You will collaborate closely with product, engineering, analytics and business teams to raise the standard of experimentation and evidence-based decision-making across the organisation. This is an opportunity to influence strategic decisions impacting millions of PlayStation players while helping establish best-in-class measurement practices across one of the world's leading entertainment companies. What You'll Be Doing: • Develop innovative measurement methodologies across experimentation, causal inference and advanced analytics that improve the quality, reliability and scalability of business decision-making across PlayStation. • Design robust measurement approaches across randomised experiments, quasi-experimental methods and observational causal inference where controlled experimentation is impractical. • Research, evaluate and prototype statistical, machine learning and AI techniques to solve complex real-world measurement challenges. • Apply advanced data science and machine learning techniques where appropriate to complement experimentation and support complex business decisions. • Define and promote best practices for experiment design, statistical analysis and causal measurement across multiple product and business teams, helping scale experimentation across PlayStation. • Partner closely with senior business leaders, product managers, engineers and analysts to identify high-impact measurement opportunities and ensure product and commercial decisions are supported by rigorous evidence. • Partner with engineering teams to influence the evolution of PlayStation's experimentation platform a

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