7 дней назад
Data Scientist II - Decision Science (Gaming)
156 300 - 234 500$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Data Scientist II - Decision Science (Gaming) (ML/Experimentation): Applying advanced statistical and machine learning methods to large datasets to support decisions about platform engagement, product features, and games with an accent on experimentation, causal inference, and predictive modeling. Focus on designing large-scale A/B tests, integrating data with complex SQL queries, and translating sophisticated analyses into actionable stakeholder recommendations.
Location: Hybrid working policy; specific office location is not stated.
Salary: $156,300–$234,500 USD base pay annually, with potential bonus eligibility.
Company
develops PlayStation hardware, software, network services, and entertainment experiences for a global audience.
What you will do
- Analyze large, complex datasets using advanced statistical and machine learning techniques to generate commercial insights.
- Build predictive models and estimate causal relationships using experimentation, causal inference, and statistical modeling.
- Define business problems and hypotheses with cross-functional partners, then design experiments to test them.
- Extract and integrate data from multiple systems using complex SQL queries.
- Present analytical results and translate technical findings into clear recommendations for stakeholders.
- Track developments in data science, including causal inference, generative AI, and machine learning, and share knowledge with the team.
Requirements
- Master’s degree or Ph.D. in applied mathematics, economics, statistics, engineering, or a related quantitative field, plus at least 2 years of relevant industry experience; a bachelor’s degree may be considered with additional experience.
- Advanced experience applying machine learning methods with Python and SQL.
- In-depth knowledge of supervised and unsupervised machine learning techniques.
- Experience with online experimentation, large-scale A/B testing, and causal inference methods such as propensity score matching, synthetic controls, and difference-in-differences.
- Familiarity with Git, Airflow, and common development workflows.
- Strong communication and data storytelling skills for explaining technical concepts to non-technical stakeholders.
Nice to have
- Experience in entertainment, gaming, technology, or another consumer-facing industry.
- Knowledge of the gaming industry and relevant game titles.
- Familiarity with generative AI tools and pipelines.
Culture & Benefits
- Inclusive environment focused on diversity, innovation, technology, and play.
- Medical, dental, and vision coverage.
- Matching 401(k), paid time off, and wellness program.
- Employee discounts on Sony products.
- Potential bonus package and background checks at the offer stage.
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