Senior Data Scientist/Analyst

PlayStation Network; Dublin; On-site; EUR 50,000 - 80,000; Full time

Job summary

Join PlayStation as a Data Scientist to enhance personalized experiences across the PlayStation Network. Collaborate with engineering and product teams, applying your analytical skills to drive data-informed decisions. If you are passionate about data and improving user experiences, this could be the perfect opportunity for you.

Qualifications

• 5-8+ years of experience in data science or analytics.
• Proven experience in designing and analyzing experiments.
• Familiarity with causal inference techniques.

Responsibilities

• Lead the analytical efforts within personalization.
• Design, execute, and analyze A/B tests.
• Evaluate machine learning models and identify improvement areas.

Skills

Analytical thinking

Data manipulation

Problem-solving

Curiosity

Communication

Statistical analysis

Machine learning

Data visualization

Education

Degree in Statistics, Computer Science, or related field

Tools

Python

R

SQL

Tableau

Power BI

Job description

PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re 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.

Our team is looking for a Data Scientist to help us chart a course in the world of Personalisation here at PlayStation. We are on a mission to deliver world-class Personalised experiences across the PlayStation Network, and we need your help to ensure we pursue this goal with a data-driven approach, intelligent data products, and robust experimentation plans. If you are curious, analytical, and love digging into data, we want you on our team.

This role will be based out of Dublin, Ireland, working closely with our many other teams and individuals who support Personalisation out of the UK and North America.

What you'll be doing:

• Lead the analytical and measurement efforts within the Personalisation program, helping define how we evaluate the success of new experiences, systems, and features
• Embed with our engineering teams, learning about our platform, and searching for insights that will provide guidance on how we develop our products with a data-first approach
• Design, execute, and analyse A/B tests and other experiments to measure the impact of personalisation strategies and feature changes.
• Evaluate the performance and effectiveness of machine learning models and content strategy through offline and online metrics, surfacing insights and identifying areas for improvement.
• Develop frameworks for attribution, forecasting, and causal inference that help quantify impact across the personalisation pipeline.
• Partner closely with engineering, product, and design teams to bring a data-first perspective to product development and iteration.
• Work with data engineering and analytics teams to ensure reliable, consistent access to high-quality data needed for experimentation and analysis.
• Communicate analytical results and recommendations to senior leadership and stakeholders, translating complex findings into clear, actionable insights.
• Contribute to the overall strategy and vision for personalisation by shaping how we define success and continuously learn from data.

What we're looking for:

• A degree, or equivalent experience, in Statistics, Computer or Data Science, Mathematics, Analytics, or similar
• At least 5-8+ of professional experience in data science, analytics, or a similar field, ideally in a product-focused, consumer-facing commerce environment.
• Proven experience designing and analysing controlled experiments, and interpreting results with statistical rigor
• Deep curiosity and a passion for learning and discovery
• Familiarity with causal inference techniques and experimental bias correction.
• Strong SQL skills and comfort working with large, complex datasets.
• Proficiency in Python or R for analysis and data manipulation.
• Ability to derive actionable insights from data and clearly communicate them to cross-functional stakeholders, including non-technical audiences.
• Experience working with data visualisation tools (e.g., Tableau, Power BI, or similar).
• Familiarity with personalisation systems or e-commerce metrics is a plus

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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