Staff Data Scientist – Experimentation: Innovation & Research

Sony Interactive Entertainment Inc.; London; Hybrid; GBP 80,000 - 110,000; Full time

Job summary

A global technology company in London seeks a Staff Data Scientist to drive innovation in experimentation and causal inference. You will lead research methodologies, mentor team members, and work with cross-functional teams to deliver data-driven solutions. Ideal candidates have 8+ years of experience in data science, with strong programming skills and a passion for the gaming industry. This position offers hybrid working and a range of benefits.

Benefits

Discretionary bonus opportunity

Private Medical Insurance

Dental Scheme

25 days holiday per year

On Site Gym

Subsidised Café

Free soft drinks

Qualifications

• 8+ years of experience in data science with hands-on work in experimentation.
• Demonstrated ability to influence data strategies for business decisions.
• Strong familiarity with the gaming industry.

Responsibilities

• Lead innovation in experimentation research and methodologies.
• Mentor and guide less-senior data scientists.
• Partner with product managers on high-impact experimentation.

Skills

Mentoring technical staff

Causal inference techniques

Collaboration

SQL and programming skills

Education

Master’s Degree or Ph.D. in related field

Tools

SQL

R or Python

Tableau

Airflow

Job description

Overview

Staff Data Scientist – Experimentation: Innovation & Research at Sony Interactive Entertainment. As a Staff Data Scientist, you will lead innovation in experimentation and causal inference, helping shape the future of decision-making and product innovation at SIE. You will drive innovative research in experimentation methodologies, mentor other team members, elevate our experimentation strategy, and help cross-functional teams deliver player-first experiences through strong evidence-based decisions.

What You’ll Be Doing

• Drive innovation in experimentation research by shaping measurement frameworks and best practices, and by developing new methodologies that enhance the quality, speed, and scalability of experiments.
• Advance experimentation infrastructure and tooling, incorporating statistical and machine learning methods to refine analytical capabilities.
• Mentor and guide less-senior data scientists, building expertise in experimentation and causal inference while providing technical direction to ensure rigor and impact.
• Partner with product managers and business leaders to identify high-impact experimentation opportunities and align them with PlayStation’s strategic goals.
• Act as a thought leader in experimentation and causal inference, evangelizing best practices and fostering learning across teams.
• Contribute to research and prototyping of novel experimentation techniques that address complex real-world challenges, such as user behavior variability and data limitations.
• Champion a data-driven culture by establishing experimentation standards, ethical practices, and reproducibility.
• Represent the team’s insights and innovations across the broader data science and product communities within PlayStation.
• Stay at the forefront of the field by monitoring emerging developments in experimentation, causal inference, and applied machine learning to continuously evolve 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.
• 8+ years of experience in data science, including extensive hands-on work in experimentation, with at least 2+ years in a mentoring or technical leadership capacity.
• 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.

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. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Details

• Seniority level
• Not Applicable

Employment type

• Full-time

Job function

• Engineering and Information Technology
• Industries: Software Development, Consumer Services, and Entertainment Providers

London, England, United Kingdom