Data Scientist - Experimentation

Job Description

Why PlayStation?

Data Scientist - Experimentation
London

Responsibilities:

Execute advanced analytics and statistical modeling projects related to platform engagement, customer segmentation and buying behavior analysis, customer retention analysis, e-commerce store management and performance, etc.
• Model and execute on concurrent Product A/B tests
• Demonstrate leadership through controlled experimentation design, causal inference, and advanced statistical analysis to measure the incremental impact of engagement programs which are key drivers of customer growth and retention
• Partner across Product, Marketing and Engineering teams to evolve our measurement approach. Build a joint vision with partner teams to ensure alignment of experiment strategy, roadmaps and deliver concrete results.
• Work with data engineers to design and automate data pipelines to scale experimentation and user analytics.
• Utilize linear/logistic regression, as well as decision trees, propensity score matching, and clustering to study customer behavior
• Independently extract and integrate data from multiple data systems (including writing complex SQL queries) to support analytical efforts.
• Develop understanding of a la carte and subscription-based business models.
• Provide detailed monthly and quarterly financial overviews to management. Participate and support in delivering results and presentations to clients
• Provide thought-leadership in on-going financial measurement and analysis of SIE's services. Identify new ideas and opportunities for analytic projects

Qualifications:
• Knowledge of the gaming industry and relevant gaming titles
• 4+ years of advanced SQL programming skills required
• 4+ years of experience using statistical packages (R or Python) for model development
• 4+ years' work experience using data to conduct advanced experiments
• Relevant work and research experience, including expertise with statistical data analysis such as linear models, multivariate analysis, experiment design, hypothesis testing, sampling methods.
• Business model development and forecasting abilities
• Minimum 4 years of experience in a business intelligence role, marketing analysis, business and/or financial management tasks for commercial organizations, preferably within the e-commerce space
• Master's Degree or Ph.D. in Applied Math, Economics, Statistics, or Engineering preferred. BA/BS Degree (Mathematics, Applied Math, Statistics, Computer Science) is a minimum requirement
• In-depth understanding and experience using supervised and non-supervised learning techniques such as linear/logistic regression, clustering, decision trees, association analysis. Well versed in model validation techniques such as cross validation, bootstrapping, and out-of-sample testing
• Experience with standard BI Tools (Tableau, MicroStrategy, etc.)
• Expert user of Microsoft Office (Word, Excel, and PowerPoint) in order to prepare all documents, presentations, tables, briefings, and worksheets. Strong written & verbal communication skills
• Familiarity with the PlayStation Network

Benefits:
• Discretionary bonus opportunity
• 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 or maternity, 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.

Jobcode: Reference SBJ-gxyj5j-3-17-6-75-42 in your application.