ResponsibilitiesDefine and standardise experimentation strategy, including best practices in test design, allocation, and statistical analysis. Collaborate with commercial, engineering, analytics, and product teams to ensure flawless execution and clean data capture. Apply causal inference techniques when randomisation isn''t feasible. Own the interpretation of experimental results, delivering both topline summaries and deep performance insights. Provide mid-test updates that build stakeholder confidence and advise adjustments during live tests. Communicate insights and recommendations with clarity and influence across working groups and senior leadership forums. Guide and mentor other data scientists, ensuring consistency, quality, and alignment across experimentation work. Represent experimentation at the strategic level, advocating for rigorous methods that drive long-term learning and impact. Create reusable documentation, tooling, and training materials to elevate experimentation maturity across the organisation.

Qualifications

Significant experience in data science and experimentation, ideally within consumer tech or digital commerce

Strong foundation in statistical testing, power analysis, and causal inference methodologies

Expertise in SQL and Python (or R) for data querying, preparation, and sophisticated analysis

Exceptional communication skills - with a proven track record to present findings to non-technical audiences, advocate for experimentation results, and influence business and product leaders

Experience working on or advising experimentation platforms and measurement frameworks

Commercial awareness and confidence in shaping decisions through data-driven evidence

Demonstrated experience mentoring junior team members and upholding high analytical standards

Collaborative, proactive attitude with strong ability to align and influence cross-functional partners

Familiarity with personalisation systems, recommender models, or A/B testing in an e-commerce or customer lifecycle context

Experience with large-scale experiments, particularly in high-traffic environments

Strong problem-solving, critical thinking, and adaptability skills

Commitment to continuous improvement and staying updated with the latest trends and standard methodologies in experimentation and measurement

Benefits

Discretionary bonus opportunity

Hybrid Working (within Flexmodes)

Private Medical Insurance

Dental Scheme

25 days holiday per year

On Site Gym

Subsidised Cafe

Free soft drinks

On site bar

Access to cycle garage and showers

Equal OpportunitySony 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.

#J-18808-Ljbffr