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# Data Scientist II - Decision Science New

- **Company:** Sony Interactive Entertainment
- **Location:** Reading, PA, United States
- **Experience:** Experienced
- **Salary:** $156,300.0 - $234,500.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Airflow, Data Presentation, Data Systems, Programming Tools, Python (Programming Language), Machine Learning, SQL Databases, Workflow Management Systems, Freeform SQL, Git, Software Version Control
- **Published:** September 1, 2026
- **Apply:** https://www.gamesjobsdirect.com/job/sony-interactive-entertainment/data-scientist-ii-decision-science/356952

## About the Role

* Master's Degree or Ph.D. in Applied Math, Economics, Statistics, Engineering, or a related quantitative field, plus at least 2 years of relevant industry experience, ideally in entertainment, gaming, technology, or a related consumer-facing industry. A BA/BS Degree may also be considered based on additional relevant industry experience.
 * Advanced knowledge and experience applying ML methods using Python and SQL.
 * Familiarity with common development tools and practices, including version control systems (e.g., Git) and workflow management tools (e.g., Airflow).
 * Excellent communication and data storytelling skills, with the ability to effectively communicate technical concepts to non-technical partners.
 * In-depth understanding and experience using supervised and unsupervised ML techniques.
 * Understanding of Online Experimentation (large-scale A/B tests) and Causal Inference methods, such as propensity score matching, synthetic control methods, and difference-in-differences, for accurately estimating causal relationships.
 * Knowledge of the gaming industry and relevant gaming titles is a plus.
 * Familiarity with Gen AI tools and pipelines is a plus.

## Description

* Apply your knowledge of Experimentation, Causal Inference, ML, and statistical modelling to develop robust predictive models and identify causal relationships.
 * Collaborate with cross-functional teams to define business problems, formulate hypotheses, and design experiments to test them.
 * Independently extract and integrate data from multiple data systems, including writing complex SQL queries, to support analytical efforts.
 * Support the delivery of results and presentations to stakeholders, translating complex analyses into clear and actionable recommendations.
 * Stay up to date on the latest advancements in Data Science, including Causal Inference, Gen AI, and ML, and share knowledge and new ideas with the team.


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