Role Overview
Senior Data Scientist on the CLV & Personalisation team shaping player value, engagement, and growth across the lifecycle.
Responsibilities
- Design and deliver advanced machine learning models to drive player value, engagement, and growth across the lifecycle.
- Own ambiguous problem spaces, defining modelling approaches and breaking down complex business challenges into actionable solutions.
- Partner with senior stakeholders to shape strategies and ensure Data Science drives high-impact decisions.
- Apply advanced ML techniques, including deep learning and sequence modelling, where appropriate to capture complex player behaviours and improve model performance.
- Evaluate and select modelling approaches based on problem context, balancing performance, scalability, and interpretability.
- Work within cross‑functional teams, including engineering, product, and commercial stakeholders, to ensure solutions are scalable, production‑ready, and aligned with long‑term architecture.
- Mentor other data scientists and contribute to best practices across the team.
- Communicate complex modelling approaches, assumptions, and outcomes clearly to senior technical and non‑technical audiences.
Qualifications
- Proven industry experience delivering impactful, production‑ready ML solutions in areas such as customer value, retention, or personalisation.
- Strong expertise in modern ML approaches, including transformers, embeddings, or sequence‑based models applied to real‑world behavioural data.
- Ability to critically assess when advanced approaches are warranted versus simpler solutions.
- Experience owning projects end‑to‑end, including problem definition, navigating ambiguity, selecting modelling approaches, and delivering impactful solutions.
- Ability to work with large, complex datasets and translate them into scalable solutions.
- Strong stakeholder management and communication skills, with the ability to influence decisions and communicate results persuasively to both technical and non‑technical audiences.
- Proficient in Python, SQL, and modern ML tooling (TensorFlow, PyTorch, MLlib, feature stores) and experience with PySpark or equivalent distributed data processing tools.
- A strong academic background, typically a Master’s or PhD in a technical or quantitative field specialising in Machine Learning.
- Experience deploying models into production and maintaining business‑critical or consumer‑facing models.
Nice to Have
- Background in gaming, e‑commerce, or subscription‑based businesses.
- Industry experience with experimentation frameworks and causal inference.
- Experience working in agile, fast‑paced environments.
Background Check
Sony Interactive Entertainment conducts background checks at the offer stage for all new employees and processes personal information to support these checks.
Equal Opportunity Statement
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
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