At a Glance
- Tasks: Lead a team of data scientists in experimentation and causal inference.
- Company: Join PlayStation, a global leader in entertainment and gaming innovation.
- Benefits: Enjoy a diverse workplace with opportunities for growth and innovation.
- Why this job: Shape the future of gaming through data-driven decision-making and creativity.
- Qualifications: Master’s degree in a relevant field; 6+ years in data science required.
- Other info: Inclusive environment welcoming diverse talents and perspectives.
The predicted salary is between 48000 - 72000 £ per year.
Data Science Manager – Experimentation: Innovation & Research
United Kingdom, London
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 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.
As a Data Science Manager , you will lead both people and innovation in experimentation and causal inference, helping shape the future of decision-making and product innovation at SIE. This is a hands-on leadership role blending technical depth with managerial responsibilities. You will drive cutting-edge research in experimentation methodologies while mentoring and guiding a team of data scientists. You’ll be responsible for elevating our experimentation strategy, fostering a culture of curiosity and rigor, and helping cross-functional teams deliver player-first experiences through strong evidence-based decisions.
What You’ll Be Doing:
- Lead a team of data scientists focused on experimentation and causal inference; provide technical direction, career development, and mentorship.
- Drive innovation in experimentation research by developing and overseeing new methodologies and frameworks that improve the quality, speed, and scalability of experiments.
- Guide the advancement of experimentation infrastructure and tooling, incorporating statistical and machine learning methods to refine analysis capabilities.
- Partner with product managers, game studios, and business leaders to identify high-impact experimentation opportunities and ensure alignment with PlayStation’s strategic goals.
- Act as a thought leader in experimentation and causal inference, evangelizing best practices and fostering learning across teams.
- Contribute directly to research and prototyping of novel experimentation techniques that address complex real-world constraints, such as user behavior variability and data limitations.
- Champion the growth of a data-driven culture by advocating for experimentation standards, ethical practices, and reproducibility.
- Represent the team’s insights, innovations, and impact across the broader data science and product communities within PlayStation.
- Stay abreast of emerging developments in experimentation, causal inference, and applied machine learning to continuously evolve our capabilities.
What We’re Looking For:
- Master’s Degree or equivalent experience in Applied Math, Economics, Statistics, Computer Science, or related field. Ph.D. or equivalent experience preferred.
- Strong familiarity with the gaming industry and contemporary gaming experiences.
- 6+ years of experience in data science, including hands-on work in experimentation, with at least 2+ years in a formal people management or technical leadership role.
- Proven track record of leading experimentation innovation and scaling frameworks within a dynamic business environment.
- Proficiency in SQL and statistical programming languages (e.g., R or Python), especially for causal inference, experimental analysis, and scalable modeling.
- Expertise in causal inference techniques and designing both randomized and quasi-experiments.
- Demonstrated ability to collaborate cross-functionally and influence data strategies that inform business and product decisions.
- Excellent communication and storytelling skills, especially in conveying complex concepts to non-technical stakeholders.
- Experience working with modern data engineering and visualization tools (e.g., Airflow, Git, Tableau, MicroStrategy).
- A strong sense of ownership and an inclusive leadership style that encourages collaboration and innovation.
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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Data Science Manager – Experimentation: Innovation & Research United Kingdom, London employer: PlayStation
Contact Detail:
PlayStation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager – Experimentation: Innovation & Research United Kingdom, London
✨Tip Number 1
Familiarise yourself with the latest trends in experimentation and causal inference, especially within the gaming industry. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role and the company.
✨Tip Number 2
Network with current or former employees of PlayStation, particularly those in data science roles. Engaging in conversations can provide valuable insights into the company culture and expectations, which can be beneficial when discussing your fit for the position.
✨Tip Number 3
Prepare to discuss specific examples of your past work in experimentation and team leadership. Highlighting your achievements and how they align with PlayStation's goals will make a strong impression during the interview process.
✨Tip Number 4
Stay updated on the tools and technologies mentioned in the job description, such as SQL, R, Python, and modern data engineering tools. Being able to speak confidently about your experience with these technologies will set you apart from other candidates.
We think you need these skills to ace Data Science Manager – Experimentation: Innovation & Research United Kingdom, London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in experimentation and causal inference. Emphasise any leadership roles you've held and specific projects that demonstrate your ability to drive innovation.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the gaming industry and how your background aligns with PlayStation's goals. Mention specific methodologies or frameworks you have developed in past roles that could benefit their experimentation strategy.
Showcase Technical Skills: Clearly outline your proficiency in SQL, R, Python, and any other relevant tools. Provide examples of how you've used these skills in previous positions to influence product decisions or improve experimentation processes.
Highlight Collaboration Experience: Demonstrate your ability to work cross-functionally by sharing examples of how you've partnered with product managers or business leaders in the past. This will show your capability to align experimentation opportunities with strategic goals.
How to prepare for a job interview at PlayStation
✨Showcase Your Leadership Skills
As a Data Science Manager, you'll be leading a team. Be prepared to discuss your previous leadership experiences, how you've mentored others, and the impact of your guidance on their careers. Use specific examples to illustrate your ability to inspire and develop talent.
✨Demonstrate Technical Expertise
Familiarise yourself with the latest methodologies in experimentation and causal inference. Be ready to discuss your hands-on experience with SQL, R, or Python, and how you've applied these skills in real-world scenarios. Highlight any innovative projects you've led that improved experimentation processes.
✨Understand the Gaming Industry
Since this role is within PlayStation, having a strong understanding of the gaming industry is crucial. Research current trends, challenges, and innovations in gaming. Be prepared to discuss how your background aligns with PlayStation's mission and how you can contribute to their goals.
✨Communicate Complex Ideas Simply
You'll need to convey complex data science concepts to non-technical stakeholders. Practice explaining your past projects in simple terms, focusing on the impact and outcomes rather than the technical details. This will demonstrate your ability to bridge the gap between data science and business needs.