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Staff Data Scientist - Experimentation & Measurement
Исключительная вакансия в топовой мировой компании с очень высокой и прозрачной заработной платой. Работа над продуктом мирового уровня (PlayStation) с доступом к уникальным данным и возможностью реально влиять на индустрию развлечений.
Сложность вакансии
Высокая сложность обусловлена требованием ученой степени (Master's/PhD) и глубокой экспертизы в узкой области причинно-следственного вывода (Causal Inference). Роль уровня Staff подразумевает не только техническое превосходство, но и лидерские качества для менторства и влияния на бизнес-решения всей компании.
Анализ зарплаты
Предлагаемый диапазон ($212k - $318k) находится на верхнем уровне рынка для позиции Staff Data Scientist в районе Сан-Франциско/Сан-Матео. Это значительно выше средних показателей по стране и соответствует компенсациям в компаниях уровня Big Tech (FAANG).
Сопроводительное письмо
I am writing to express my strong interest in the Staff Data Scientist position at Sony Interactive Entertainment. With over 6 years of experience specializing in causal inference and experimentation, I have a proven track record of implementing rigorous statistical frameworks that drive product innovation. My background in econometrics aligns perfectly with your need for a leader who can navigate complex quasi-experimental designs when traditional A/B testing is not feasible.
Throughout my career, I have focused on bridging the gap between technical data science and strategic business decisions. At my previous roles, I have not only designed large-scale experiments but also mentored junior scientists and developed internal tooling to scale experimentation best practices. I am particularly excited about the opportunity to apply these skills to the PlayStation ecosystem, ensuring that data-driven insights continue to enhance the experience for millions of players worldwide.
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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.
Staff Data Scientist - Experimentation & Measurement
San Mateo, CA (Hybrid)
Overview:
As a Staff Data Scientist on the Decision Science team at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of key initiatives and programs. You’ll help shape how millions of players around the world experience PlayStation by bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across the company. This highly visible role will advance our experimentation practices and ensure that data-driven insights inform the way we build, market, and evolve our products.
What You’ll Be Doing:
- 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.
- Your insights will directly influence how PlayStation builds, markets, and evolves products across our ecosystem.
Basic Requirements:
- Master’s or PhD in Statistics, Economics, or Econometrics.
- 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.
- Bonus: Passion for video games, player communities, or the gaming industry.
#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.
$212,200—$318,200 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
- Economics
- Econometrics
- Causal Inference
- A/B Testing
- Machine Learning
- Data Extraction
- Data Transformation
Возможные вопросы на собеседовании
Проверка глубины знаний в основной специализации роли.
Расскажите о случае, когда проведение прямого A/B теста было невозможно. Какие методы квази-экспериментов вы использовали для оценки эффекта?
Оценка способности работать с бизнес-метриками и определять успех продукта.
Как вы подходите к выбору прокси-метрик для долгосрочных целей удержания пользователей в экосистеме PlayStation?
Проверка навыков менторства и лидерства, необходимых для уровня Staff.
Опишите ваш опыт разработки внутренних фреймворков или инструментов для автоматизации экспериментов в масштабах организации.
Оценка навыков коммуникации с руководством.
Как вы объясните технически сложное противоречие в результатах эксперимента (например, интерференция или сетевые эффекты) нетехническим стейкхолдерам?
Проверка статистической грамотности.
Как вы справляетесь с проблемой множественной проверки гипотез при анализе большого количества метрик в одном тесте?
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- Страна
- США
- Зарплата
- 212 200 $ – 318 200 $