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Sony Interactive Entertainment

Sony Interactive Entertainment

www.sonyinteractive.com

25 Jobs

10,711 Employees

About the Company

Sony Interactive Entertainment, the company behind PlayStation, pushes the boundaries of entertainment and innovation, starting from the launch of the original PlayStation in Japan in 1994. Today, we continue to deliver innovative and thrilling experiences to a global audience through our PlayStation line of products and services that include generation-defining hardware, pioneering network services, and award-winning games. Headquartered in San Mateo, California, with global functions in California, London, and Tokyo, and game development studios around the world as part of PlayStation Studios, we believe that the power of play is borderless. Sony Interactive Entertainment is a wholly owned subsidiary of Sony Group Corporation.

For more information about our company, please visit SonyInteractive.com. For more information about PlayStation products, please visit PlayStation.com.

Want to take your career to the next level? Search open job vacancies at any of the Sony Interactive sites by visiting playstation.com/careers/

Listed Jobs

Company background Company brand
Company Name
Sony Interactive Entertainment
Job Title
Staff Data Scientist – Experimentation: Innovation & Research
Job Description
**Job title** Staff Data Scientist – Experimentation: Innovation & Research **Role Summary** Lead the design, implementation, and scaling of experimentation and causal inference methodologies to drive data‑driven product decisions and innovation across PlayStation’s portfolio. Act as a technical mentor, thought leader, and cross‑functional partner, advancing measurement frameworks, tooling, and best practices that elevate experimentation quality, speed, and scalability. **Expactations** - Own and evolve experimentation strategy and infrastructure for large‑scale, data‑rich environments. - Mentor and develop junior data scientists, ensuring rigorous statistical practice and impact. - Partner with product, engineering, and business leaders to identify, prioritize, and execute high‑impact experiments aligned with strategic goals. - Evangelize experimentation principles, promote reproducibility, ethical standards, and a culture of curiosity. - Deliver insights and technical guidance to internal stakeholders, translating complex concepts into actionable business recommendations. **Key Responsibilities** 1. Design and implement advanced experimental frameworks, including randomized and quasi‑experimental designs. 2. Develop and maintain scalable experimentation tooling using SQL, Python/R, and modern data engineering platforms (Airflow, Git). 3. Prototype and evaluate novel causal inference techniques to address real‑world data limitations and behavioral variability. 4. Mentor a team of data scientists, providing technical direction, code reviews, and best‑practice training. 5. Collaborate with product managers and stakeholders to map experimentation opportunities to business outcomes. 6. Establish and enforce experimentation standards, documentation, and reproducibility protocols. 7. Communicate findings through clear visualizations (Tableau, MicroStrategy) and storytelling to non‑technical audiences. 8. Stay current on emerging research in experimentation, causal inference, and applied machine learning; incorporate relevant advances. **Required Skills** - Deep expertise in experimentation design and causal inference (randomized controlled trials, IV, propensity scoring, difference‑in‑differences). - Strong statistical programming skills in Python or R; proficiency in SQL for large‑scale data queries. - Experience building and maintaining data pipelines and tooling (Airflow, Git). - Advanced data visualization and reporting (Tableau, MicroStrategy). - Proven ability to mentor and lead technical teams. - Excellent communication, storytelling, and stakeholder influence. - Familiarity with gaming industry data and player behavior analytics (preferred). **Required Education & Certifications** - Master’s degree in Applied Mathematics, Economics, Statistics, Computer Science, or equivalent; Ph.D. preferred. - Relevant certifications in statistics, data science, or machine learning are a plus. ---
London, United kingdom
Hybrid
Senior
26-12-2025
Company background Company brand
Company Name
Sony Interactive Entertainment
Job Title
Senior Manager, Marketing Finance (FP&A)
Job Description
**Job Title** Senior Manager, Marketing Finance (FP&A) **Role Summary** Lead global financial planning, analysis, and governance for the Marketing division, coordinating across US, UK, and Japan. Deliver KPI frameworks, ROI models, and budgeting cycles to drive informed marketing investment decisions and support strategic objectives of Sony Interactive Entertainment. **Expectations** - Command a cross‑regional team and deliver accurate, timely financial plans and reports. - Build and maintain actionable dashboards linking spend to outcomes. - Champion financial rigor, controls, and governance for all marketing spend. **Key Responsibilities** - Design and standardize Marketing KPI and ROI frameworks (campaign ROI, CAC, LTV, media efficiency, conversion metrics). - Work with Global Marketing, BI, Brand, and Commercial teams to translate data into insights, produce dashboards, and conduct effectiveness reviews. - Model ROI for paid media, content, partnership investments and benchmark against performance metrics (impressions, CTR, view‑through, subscriber growth). - Provide scenario modeling for budget reallocation and decision support. - Oversee marketing analytics governance, ensuring consistency across markets. - Integrate KPI and ROI outputs into long‑range planning and forecasting cycles. - Direct the Global Marketing FP&A team in annual budget, MRP, quarterly forecasts, monthly estimates, and ad‑hoc assessments. - Drive the creation and automation of reporting suites for senior leadership. - Conduct variance analysis, financial storytelling, and highlight performance drivers. - Partner with Global Marketing, FP&R, Strategy, and other commercial finance teams to manage risk, opportunity, and accountability. - Implement processes to enhance financial rigor, controls, and governance across marketing spend. - Lead continuous improvement initiatives, system automation, and stakeholder education. - Supervise a global team across San Mateo, London, and Tokyo. - Handle ad‑hoc projects and special assignments as required. **Required Skills** - Senior experience in global FP&A, commercial finance, and financial analytics. - Proven leadership with change‑management and improvement focus. - Strong analytical, methodological, and detail‑oriented mindset. - Proficient in KPI development, ROI modeling, dashboard creation, and scenario planning. - Excellent communication & executive partnership skills. - Self‑starter with initiative, organization, and proactive problem‑solving. - Ability to manage cross‑functional teams and deliver results in a fast‑paced, global environment. **Required Education & Certifications** - Bachelor’s degree (Finance, Accounting, Business, or related field). - MBA, CFA, or equivalent advanced finance qualification preferred.
London, United kingdom
Hybrid
Senior
25-12-2025
Company background Company brand
Company Name
Sony Interactive Entertainment
Job Title
Data Science Manager – Experimentation: Innovation & Research
Job Description
Job title: Data Science Manager – Experimentation: Innovation & Research Role Summary: Lead a team of data scientists to advance experimentation and causal inference within a gaming entertainment company. Drive methodological innovation, infrastructure development, and cross‑functional collaboration to enable evidence‑based product decisions and player‑first experiences. Expectations: - Master’s degree in Applied Math, Statistics, Economics, CS, or equivalent; Ph.D. preferred. - 6+ years in data science with 2+ years in people management/leadership. - Proven track record scaling experimentation frameworks and advancing causal inference. - Strong communication, storytelling, and inclusive leadership skills. - Industry knowledge of modern gaming environments. Key Responsibilities: 1. Manage and mentor a team focused on experimentation and causal inference. 2. Develop and implement new experimental methodologies and frameworks. 3. Guide evolution of experimentation infrastructure, tooling, and statistical/machine‑learning pipelines. 4. Partner with product, studio, and business leaders to prioritize high‑impact experiments. 5. Evangelize best practices, foster a data‑driven culture, and promote reproducibility and ethical standards. 6. Represent innovations internally and externally through presentations and publications. 7. Stay current on advances in experimentation, causal inference, and applied ML; integrate emerging techniques. Required Skills: - Deep expertise in SQL, R or Python (statistical programming). - Advanced causal inference techniques; design of randomized and quasi‑experiments. - Experience with modern data engineering (Airflow, Git) and visualization tools (Tableau, MicroStrategy). - Strong quantitative modeling, experimentation design, and scalable analysis. - Effective cross‑functional collaboration and stakeholder influence. - Excellent written and verbal communication, storytelling for non‑technical audiences. - Inclusive leadership and ownership mindset. Required Education & Certifications: - Master’s degree in Applied Mathematics, Statistics, Economics, Computer Science, or related field (Ph.D. preferred). - Professional certifications in data science or causal inference (e.g., SAS Certified, Google Data Analytics, etc.) optional but desirable.
London, United kingdom
Hybrid
Mid level
27-12-2025
Company background Company brand
Company Name
Sony Interactive Entertainment
Job Title
Senior Engineer, Machine Learning
Job Description
**Job Title:** Senior Engineer, Machine Learning **Role Summary:** Lead the design, development, and deployment of AI/ML systems for automatic anomaly and glitch detection in video game QA. Drive research, prototype new detection algorithms, mentor junior talent, and collaborate with cross‑functional teams to integrate models into production pipelines. **Expactations:** - Deliver end‑to‑end ML solutions that meet product quality and performance targets. - Publish research internally and at top academic venues; file patents to strengthen IP portfolio. - Mentor interns, junior engineers, and academic partners. - Communicate findings clearly to technical and non‑technical stakeholders. **Key Responsibilities:** - Design and implement novel anomaly detection algorithms for game QA. - Conduct research on anomaly detection, computer vision, multimodal models, and signal‑processing techniques. - Prototype and evaluate new ideas rapidly. - Deploy and scale ML models in live production environments, ensuring reliability and performance. - Provide technical guidance and mentorship to team members. - Present results to stakeholders and at conferences/journals. - Stay abreast of cutting‑edge research and share knowledge within the team. **Required Skills:** - 5+ years of ML/AI research or industry experience in computer vision or game development. - Proficiency in Python, TensorFlow or PyTorch. - Strong data analysis, signal processing, and statistical modeling abilities. - Experience delivering ML models from concept to production. - Knowledge of self‑supervised learning, multimodal/vision‑language models, and post‑training methods. - Excellent problem‑solving, communication, and teamwork skills. - Passion for gaming and AI innovation. **Required Education & Certifications:** - Master’s degree in Computer Science, Machine Learning, Electrical Engineering, Robotics, Statistics, Mathematics, or related field (PhD preferred but equivalent experience acceptable).
London, United kingdom
Hybrid
Senior
28-12-2025