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 vibrant industry.
- Why this job: Make a real impact on gaming through data-driven decision-making and cutting-edge research.
- 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) 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)
✨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, don’t hold back! Share your hands-on experience with experimentation and causal inference. Use real examples to demonstrate how you've led teams and driven innovation.
✨Tailor Your Approach
Make sure to tailor your conversations to highlight your familiarity with the gaming industry. Discuss how your background in data science can help shape player-first experiences and align with their strategic goals.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about joining our team.
We think you need these skills to ace Data Science Manager (Experimentation, Innovation & Research)
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.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate good storytelling, but make sure you’re conveying complex ideas simply, especially for non-technical stakeholders.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with StudySmarter.
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 methodologies 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 leadership style and how it has driven innovation.
✨Connect with the Gaming Industry
Demonstrate your familiarity with the gaming industry by discussing current trends and how they relate to data science. Mention any relevant projects or experiences that showcase your understanding of player-first experiences and evidence-based decision-making.
✨Communicate Clearly
Practice explaining complex concepts in simple terms, especially for non-technical stakeholders. Use storytelling techniques to convey your ideas effectively, ensuring that your passion for data science and experimentation shines through during the interview.
