Staff Data Scientist â CLV & Next Best Action
Staff Data Scientist â CLV & Next Best Action
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Job Description
Why PlayStation
PlayStation isnt just the Best Place to Play its also the Best Place to Work. Today were recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5 PlayStation4 PlayStationVR PlayStationPlus acclaimed PlayStation software titles from PlayStation Studios and more.
PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation technology and play to explore our open positions and join our growing global team.
The PlayStation brand falls under Sony Interactive Entertainment a wholly-owned subsidiary of Sony Group Corporation.
Role Overview:
Our Data Science Analytics and Enablement (DSAE) team inspires PlayStation to make impactful customer-centric decisions through seamless integration of data.
Currently there are over 100 people in the global DSAE team including data science data governance and analytics professionals. We work closely with engineering and product management teams to deliver data products insight predictive analytics and data visualisation.
Were seeking an experienced and collaborative Staff Data Scientist to join our CLV & Next Best Action / Personalisation team which builds models that help PlayStation understand and influence the value growth and engagement of our global player base.
By connecting player behaviours to long-term outcomes our work creates the intelligence that underpins Customer Lifetime Value (CLV) modelling and guides PlayStations Next Best Action and Personalisation strategies. Youll help shape how PlayStation invests in retains and delights its players - and advance our use of modern machine learning at global scale.
This is an exciting opportunity to develop your skills in modern machine learning while contributing to high-impact projects that directly influence how PlayStation engages and retains its players.
What Youll Be Doing:
- Design and deliver models that quantify player value engagement and growth shaping strategies across the player lifecycle.
- Apply advanced ML and deep learning approaches (e.g. transformers embeddings sequence models) to capture player behaviours and monetisation patterns.
- Partner with senior stakeholders in commercial finance and lifecycle teams to define roadmaps and ensure CLV and Next Best Action modelling advises high-impact decisions.
- Translate sophisticated ambiguous business needs into modelling strategies that guide engagement and growth.
- Work with engineering partners to ensure solutions are robust scalable and production-ready.
- Mentor colleagues and influence best practices fostering technical growth and knowledge sharing across the team.
- Communicate modelling rationale assumptions and results persuasively to technical and non-technical senior audiences.
What were looking for:
You combine technical depth in machine learning with the ability to influence strategy and inspire others. You thrive on solving sophisticated problems that deepen PlayStations understanding of its players and you use this understanding to drive decision and growth strategies related to player growth.
- Proven experience building predictive models for customer value engagement retention or monetisation.
- Expertise in modern ML and deep learning techniques including transformers embeddings and sequence models for behavioural or transactional data.
- Ability to work with large-scale complex datasets to generate actionable insights and scalable models.
- Proficiency in Python PySpark and SQL with fluency in common ML libraries and experience building robust modelling pipelines.
- A track record of shaping modelling strategies and ensuring solutions are impactful scalable and production-ready.
- Excellent communication skills with the ability to explain concepts persuasively to senior business leaders.
- A collaborative empowering approach with experience mentoring colleagues and contributing to team-wide innovation.
- A strong academic background (typically a Masters or PhD in a technical or quantitative field) or equivalent professional experience.
Nice to Have:
- Experience with workflow orchestration tools (e.g. Airflow) feature stores or visualisation platforms (e.g. Tableau Domo).
- Proven experience in gaming e-commerce or subscription-based business models.
- Experience deploying ML models in production environments and working with MLOps tools.
- A personal interest in gaming and entertainment.
Benefits:
- Discretionary bonus opportunity
- Hybrid Working (within Flexmodes)
- Private Medical Insurance
- Dental Scheme
- 25 days holiday per year
- On Site Gym
- Subsidised Caf
- Free soft drinks
- On site bar
- Access to cycle garage and showers
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.
Required Experience:
Staff IC
Employment Type
Full-Time
