Sony

Senior Data Scientist

United States, Los Angeles, CA · Senior

Sponsorship not specified$167k-$251kDetected 1 day ago

PythonSQLMachine LearningData ScienceNLPStatisticsA/B TestingStakeholder ManagementForecastingResearchCommunication

About the role

Sony Interactive Entertainment isn't just the Best Place to Play - it's also the Best Place to Work.
Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand.
SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual (IP) in the world.

Build optimization and scenario models that inform long-range planning and investment decisions under real-world constraints.
Own ambiguous problem spaces, and break down complex business challenges into tractable, measurable solutions.
Partner closely with cross-functional teams across Finance, Strategy and Platform to ensure value-driving products are robust, trusted and adopted, helping stakeholders understand how to recognise and attribute impact.
You thrive on ambiguous, high-value problems, using data to deepen PlayStation's understanding of its players and its portfolio, and inform decisions and strategies that drive sustainable growth.

Proven industry experience delivering impactful, decision-grade analytical and modelling solutions in areas such as customer value, incrementality, forecasting, or investment decisioning.
Experience with optimization or operations research approaches (for example resource allocation, scheduling, or constrained planning problems), or a strong quantitative foundation to pick these up quickly.
Experience owning projects end-to-end, from problem definition and selecting methods through to delivery and business adoption.
Ability to work with large, complex datasets and translate them into scalable, trustworthy solutions.
Proficiency in Python and SQL, and comfort across the modern analytical and ML tooling ecosystem
experience with PySpark or equivalent distributed data processing tools.
You combine technical depth with a proactive, solution-oriented mindset, and the ability to influence strategy and inspire others.
This role combines deep technical expertise with strong commercial judgement.

Background in gaming, e-commerce, or subscription-based businesses.
Experience partnering with Finance or commercial functions on portfolio, investment, or impact-attribution problems.
Industry experience with experimentation frameworks and causal inference.
Experience working in agile, fast-paced environments
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At SIE, we consider several factors when setting each role's base pay range, including the competitive benchmarking data for the market and geographic location.

Why Sony Interactive Entertainment?
As a subsidiary of Sony Group Corporation, we're part of a proud legacy of innovation and excellence.
Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Senior Data Scientist, Product Usage & Value Lens (SBG / PBG Finance Partnership)
At PlayStation, Data Science plays a critical role in shaping how we invest in, retain, and delight our global player base.
What We're Looking For

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. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

This listing is sourced directly from Sony's careers page and normalized into a canonical job model.