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Senior Data Scientist -  Experimentation & Measurement

Оценка ИИ

Исключительная вакансия в топовой технологической компании с очень высокой зарплатой и отличным соцпакетом. Работа над продуктами мирового уровня (PlayStation) обеспечивает высокую значимость роли и профессиональный рост.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена требованиями к ученой степени (Master's/PhD) и глубокой экспертизе в причинно-следственном выводе (causal inference) и квази-экспериментах. Роль предполагает лидерство в методологии и влияние на бизнес-решения глобального уровня.

Анализ зарплаты

Медиана210 000 $
Рынок165 000 $ – 275 000 $
Оценка ИИ

Предлагаемый диапазон ($179k – $268k) находится на верхнем уровне рыночных значений для Senior Data Scientist в районе Сан-Франциско/Сан-Матео. Это значительно выше среднего по США, что соответствует уровню Tier-1 компаний.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Data Scientist position focusing on Experimentation & Measurement at Sony Interactive Entertainment. With over five years of experience in causal inference and A/B testing, I have a proven track record of driving product strategy through rigorous statistical analysis. My background in developing experimentation frameworks aligns perfectly with your goal of advancing measurement practices for PS4 to PS5 user migration and growth marketing.

In my previous roles, I have specialized in applying advanced quasi-experimental methods when traditional A/B testing was not feasible, ensuring that business decisions remain data-driven even in complex scenarios. I am particularly excited about the opportunity to apply these skills to the PlayStation ecosystem, helping to optimize player experiences and marketing efficiency. My proficiency in Python and SQL, combined with a deep understanding of econometrics, allows me to bridge the gap between complex data extraction and high-level stakeholder communication.

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Составьте идеальное письмо к вакансии с ИИ-агентом

Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в sonyinteractiveentertainmentglobal уже сейчас

Присоединяйтесь к команде PlayStation и определяйте будущее игровой индустрии через науку о данных!

Описание вакансии

Why PlayStation?

PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more.

PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.

The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation.

Senior Data Scientist -  Experimentation & Measurement

San Mateo, CA

Overview:

As a Senior Data Scientist on the Decision Science team within the Data Science, Analytics, & Enablement (DSAE) organization at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of PS4 to PS5 user migration initiatives, growth marketing strategies, and broader campaign performance. This role is focused on advancing our experimentation practices—bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across PlayStation.

What You’ll Be Doing:

  • Lead the design, execution, and interpretation of A/B tests and quasi-experiments to evaluate the impact of user migration initiatives (PS4 to PS5), growth marketing strategies, and campaign performance.
  • Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles.
  • Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication.
  • Apply advanced causal inference methods when experimentation isn’t feasible or to inform test design and prioritization.
  • 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.

Basic Requirements:

  • Master’s or PhD in Statistics, Economics, or Econometrics. Other degrees in quantitative disciplines may be considered.
  • 5+ years of experience in a data science experimentation-focused role (3+ with PhD).
  • Deep expertise in A/B testing and causal inference, including quasi-experimental methods.
  • Proficiency in SQL for data extraction and transformation.
  • Proficiency in Python, including statistical and data science libraries.
  • Broad and applied knowledge of statistical techniques and machine learning modeling methods.
  • Proven ability to influence product and business decisions through clear, actionable insights.
  • Experience contributing to or developing experimentation frameworks, best practices, or internal tooling.
  • Bonus: Interest in or knowledge of video games, gaming platforms, or player behavior.

#LI-KC

Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights.

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.

Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. 

In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more.

The estimated base pay range for this role is listed below.

$178,900—$268,300 USD

Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.

Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.

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, 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.

PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

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Навыки

  • SQL
  • Python
  • Statistics
  • Causal Inference
  • A/B Testing
  • Machine Learning
  • Econometrics
  • Data Analysis

Возможные вопросы на собеседовании

Проверка глубины знаний в основной специализации роли.

Расскажите о случае, когда классическое A/B тестирование было невозможно. Какие квази-экспериментальные методы вы использовали для оценки эффекта?

Оценка способности кандидата влиять на процессы в компании.

Как бы вы подошли к созданию централизованного фреймворка для экспериментов в такой крупной организации, как PlayStation?

Проверка навыков работы с данными в контексте бизнеса.

Какие метрики вы бы выбрали для оценки успеха миграции пользователей с PS4 на PS5 и почему?

Проверка статистической грамотности.

Как вы справляетесь с проблемой множественной проверки гипотез (multiple testing problem) при анализе результатов экспериментов?

Оценка коммуникативных навыков.

Опишите ситуацию, когда результаты вашего исследования противоречили ожиданиям стейкхолдеров. Как вы доносили эти выводы?

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Зарплата
178 900 $ – 268 300 $