At a Glance
- Tasks: Lead a team in innovative experimentation and causal inference to shape product decisions.
- Company: Join PlayStation, a leader in gaming innovation and player-first experiences.
- Benefits: Competitive salary, career development, and a culture of curiosity and collaboration.
- Other info: Dynamic role blending technical expertise with managerial responsibilities in a cutting-edge environment.
- Why this job: Make a real impact on gaming by driving evidence-based decisions and fostering innovation.
- Qualifications: Master’s or Ph.D. in relevant fields with 6+ years in data science and leadership experience.
The predicted salary is between 80000 - 100000 € per year.
Requirements
- 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.
What the job involves
- 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.
- 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.
Data Science Manager (Experimentation, Innovation & Research) in London employer: Deepstreamtech
As a Data Science Manager at SIE, you will thrive in a dynamic and innovative work culture that prioritises collaboration and creativity. With a strong focus on employee growth, you will have the opportunity to mentor a talented team while driving cutting-edge research in experimentation methodologies. Located in a vibrant industry hub, SIE offers unique advantages such as access to the latest gaming technologies and a commitment to fostering a data-driven culture that empowers you to make impactful decisions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Manager (Experimentation, Innovation & Research) in London
✨Network Like a Pro
Get out there and connect with folks in the gaming industry! Attend meetups, webinars, or even online forums. The more people you know, the better your chances of landing that Data Science Manager role.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your hands-on experience with experimentation and causal inference. Share specific examples of how you've led teams and driven innovation in past roles.
✨Tailor Your Approach
Every company is different, so do your homework! Understand their products and culture, and tailor your conversations to show how your skills align with their goals. This will make you stand out as a candidate who truly gets them.
✨Apply Through Us!
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it gives us a chance to see your application in the best light possible.
We think you need these skills to ace Data Science Manager (Experimentation, Innovation & Research) in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience in data science, especially your hands-on work in experimentation. We want to see how you've led teams and driven innovation, so don’t hold back on those achievements!
Tailor Your Application:Take a moment to customise your application for the Data Science Manager role. Use keywords from the job description to show us you understand what we're looking for, especially around causal inference and collaboration.
Tell Your Story:We love a good story! When you describe your experiences, focus on how you've influenced decisions and driven results. Make it relatable, especially for non-technical folks who might read your application.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at Deepstreamtech
✨Know Your Stuff
Make sure you brush up on your technical skills, especially in SQL and programming languages like R or Python. Be ready to discuss your hands-on experience with experimentation and causal inference techniques, as well as any innovative frameworks you've developed.
✨Show Your Leadership Style
Since this role involves managing a team, be prepared to talk about your leadership approach. Share examples of how you've mentored others and fostered collaboration within your teams. Highlight your inclusive style and how it has led to successful outcomes.
✨Understand the Gaming Industry
Familiarise yourself with current trends and challenges in the gaming industry. Be ready to discuss how your data science expertise can contribute to creating player-first experiences and align with the strategic goals of the company.
✨Communicate Clearly
Practice explaining complex concepts in simple terms, especially for non-technical stakeholders. Use storytelling techniques to convey your ideas effectively, demonstrating your ability to influence data strategies across cross-functional teams.
