Data Scientist – Experimentation & Measurement
United Kingdom, London
PlayStation Global
Erkunde die neue Generation von PlayStation 4- und PS5-Konsolen – erlebe immersives Gaming mit Tausenden Spiele-Hits aus allen Genres, die die Regeln für das, was eine PlayStation-Konsole kann, neu schreiben.Why PlayStation?
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 PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, 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:
Join the Decision Science team within the broader Data Science, Analytics, & Enablement (DSAE) organisation at PlayStation. As a Data Scientist II, you will focus on designing and interpreting experiments to evaluate the impact of PS+ personalisation initiatives, top-decile engagement strategies, and broader campaign performance. You’ll work closely with cross-functional teams to embed experimentation into product development and decision-making.
What You’ll Be Doing:
- Design and analyse A/B tests and quasi-experiments to assess the impact of various initiatives and campaigns.
- Support test setup, hypothesis development, and interpretation of results in partnership with product managers, engineers, and marketers.
- Independently retrieve and analyse data from sophisticated data systems using SQL and Python.
- Translate experimental results into actionable recommendations that influence decision-making.
- Contribute to the development and adoption of experimentation standard methodologies and tools.
- Stay current on developments in experimentation and causal inference and bring innovative thinking to your work.
- Share insights and collaborate with fellow data scientists to elevate experimentation capabilities across the team.
What we're looking for:
- Master’s or PhD in Statistics, Economics, or Econometrics. Other degrees in quantitative subject areas may be considered.
- 3–5 years of experience in a data science experimentation-focused role (less with PhD).
- Solid understanding of A/B testing concepts and foundational causal inference methods.
- Proficiency in SQL for data extraction and transformation.
- Proficiency in Python.
- Broad and applied knowledge of statistical techniques and machine learning modelling methods.
- Ability to communicate data-driven insights to cross-functional stakeholders.
- Bonus: Interest in or knowledge of video games, gaming platforms, or player behaviour.
Benefits:
- Discretionary bonus opportunity
- Hybrid Working (within Flexmodes)
- Private Medical Insurance
- Dental Scheme
- 25 days holiday per year
- On Site Gym
- Subsidised Café
- 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Causal inference Econometrics Economics Machine Learning PhD Python SQL Statistics Testing VR
Perks/benefits: Career development Fitness / gym Health care Insurance
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