Staff Data Scientist – Experimentation & Measurement

🕒 4 days ago

🏄 California – Remote

🏄 California – Remote

💵 $212.2k - $318.2k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

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Sony Interactive Entertainment

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1994

🎮 Gaming

🔧 Hardware

📡 Telecommunications

Gaming • Hardware • Telecommunications

Sony Interactive Entertainment is a prominent division of Sony Corporation responsible for the PlayStation brand and family of products and services. It designs, produces, and sells hardware and software for gaming consoles such as the PlayStation 5, PlayStation 4, and PlayStation VR2. Sony Interactive Entertainment also offers a range of digital services including PlayStation Plus, an online subscription service that provides access to a vast library of games and exclusive content. The company is heavily involved in the development and publishing of video games, offering popular titles like Horizon Forbidden West and Gran Turismo 7. Additionally, it supports indie game developers and hosts live competitive gaming events, contributing significantly to the gaming industry's ecosystem.

📋 Description

• Design, execute, and interpret A/B tests and quasi-experiments, and apply advanced causal inference methods when experimentation isn’t feasible. • Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles and communicate results with the company’s senior leadership. • Mentor and guide other Data Scientists, providing thought leadership and technical direction. • Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication. • Help define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company. • Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools. • Communicate findings clearly to technical and non-technical stakeholders, helping drive business decisions with rigor and clarity. • Stay current on new methodologies in experimentation and causal analysis, and bring fresh perspectives to the team’s work.

🎯 Requirements

• Bachelor’s degree or equivalent. • 6+ years of experience in a data science experimentation/causal inference-focused role (4+ with PhD). • Deep expertise in A/B testing and causal inference, including quasi-experimental methods. • Proficiency in SQL and Python for data extraction, transformation, and analysis. • Broad and applied knowledge of statistical techniques. • Experience with machine learning modeling is a plus. • Proven ability to influence product and business decisions through clear, actionable insights. • Experience contributing to or developing experimentation frameworks, best practices, or internal tooling.

🏖️ Benefits

• Medical • Dental • Vision • Matching 401(k) • Paid time off • Wellness program • Employee discounts for Sony products