At a Glance
- Tasks: Lead a team of data scientists in innovative experimentation and causal inference.
- Company: Join PlayStation, a global leader in entertainment and gaming.
- Benefits: Inclusive culture, competitive salary, and opportunities for career growth.
- Why this job: Shape the future of gaming through data-driven decision-making and innovation.
- Qualifications: Master’s degree in a relevant field and 6+ years of data science experience.
- Other info: Collaborative environment with a focus on diversity and inclusion.
The predicted salary is between 48000 - 72000 £ per year.
Overview 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 employer: Sony Playstation
Contact Detail:
Sony Playstation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager – Experimentation: Innovation & Research
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming and data science communities. Attend meetups, webinars, or even gaming events. You never know who might have the inside scoop on job openings or can refer you directly!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your experimentation projects and data analyses. Use platforms like GitHub to share your code and findings. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your storytelling skills. Be ready to explain complex concepts in simple terms, especially when discussing your past projects. Remember, they want to see how you can communicate with non-technical stakeholders!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the PlayStation team. Let’s get you that dream job!
We think you need these skills to ace Data Science Manager – Experimentation: Innovation & Research
Some tips for your application 🫡
Show Your Passion for Data Science: When you're writing your application, let your enthusiasm for data science shine through! We want to see how your curiosity and innovative spirit align with our mission at PlayStation. Share specific examples of your past work that demonstrate your love for experimentation and causal inference.
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Science Manager role. Highlight your relevant experience in leading teams and driving innovation in experimentation. We appreciate when candidates take the time to connect their skills with what we’re looking for!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to explain your achievements and how they relate to the role. We value strong communication skills, so make it easy for us to understand your impact and contributions in previous positions.
Apply Through Our Website: Don’t forget to submit your application through our official website! This ensures that your application gets to the right place and is reviewed promptly. Plus, it’s the best way to stay updated on your application status and any next steps.
How to prepare for a job interview at Sony Playstation
✨Know Your Stuff
Make sure you brush up on your knowledge of experimentation methodologies and causal inference techniques. Be ready to discuss specific examples from your past work where you've successfully led a team or driven innovation in these areas.
✨Show Your Leadership Skills
Prepare to talk about your experience in managing teams and mentoring data scientists. Think of instances where you’ve fostered a culture of curiosity and collaboration, and be ready to share how you’ve helped your team grow.
✨Connect with the Gaming Industry
Since this role is with PlayStation, it’s crucial to demonstrate your familiarity with the gaming industry. Share your insights on contemporary gaming experiences and how they relate to data-driven decision-making in product development.
✨Communicate Clearly
Practice explaining complex concepts in simple terms, especially for non-technical stakeholders. You might be asked to present your ideas or findings, so being able to tell a compelling story with your data is key!