- Страна
- США
- Зарплата
- 164 428 $ – 287 749 $
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Sr. Data Scientist, Monetization
Высокая оценка обусловлена престижем бренда Pinterest, прозрачным и конкурентным диапазоном зарплаты, а также возможностью работать над сложными задачами на стыке ИИ и монетизации. Дополнительный плюс — наличие опционов.
Сложность вакансии
Роль требует глубоких знаний в области статистики, причинно-следственного вывода (causal inference) и рекламных технологий. Высокий уровень ответственности за менторство и стратегические решения на уровне всей экосистемы объявлений делает позицию сложной.
Анализ зарплаты
Предлагаемая зарплата ($164k - $287k) полностью соответствует и даже превышает рыночные стандарты для Senior Data Scientist в таких технологических хабах, как Сан-Франциско и Сиэтл. Верхняя граница диапазона значительно выше медианы по рынку, что отражает высокие требования к экспертизе в области монетизации.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Data Scientist, Monetization position at Pinterest. With over five years of experience in applying advanced statistical methods and causal inference to web-scale data, I am particularly drawn to Pinterest’s unique challenge of balancing user inspiration with a robust ads ecosystem. My background in building segmentation models and designing measurement strategies aligns perfectly with your mission to optimize programmatic ad load and pricing strategies.
In my previous roles, I have successfully led end-to-end data products, from identifying success metrics to implementing complex experimentation frameworks. I am impressed by Pinterest's AI-forward interview philosophy and its commitment to transparency. I am eager to bring my expertise in SQL, Python, and ads domain knowledge to the Monetization Engineering organization to help drive strategic decision-making and mentor the next generation of data scientists on the team.
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Откликнитесь в pinterest уже сейчас
Присоединяйтесь к команде Pinterest и определяйте будущее рекламных технологий с помощью данных и ИИ!
Описание вакансии
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
We are looking for Data Scientists to join our Monetization Engineering organization. You will take end to end ownership of designing, researching, building, and delivering data products as well as collaborate with XFNs to formulate, experiment, and evolve Pinterest’s strategy in the Ads space.
What you’ll do:
- Deep strategic analysis to answer core questions such as: How do we assess the trade-off between metrics change? How should we evaluate overall impact from changes in one component of the ads ecosystem?
- Opportunity sizing and analysis. Should Pinterest adjust programmatic ad load based on ? Write clear, actionable analyses that help teams identify areas of improvement and investment.
- Modeling: Build segmentation models to assess supply to inform pricing strategy.
- Improve decision velocity and quality using data scientist tool kit: experimentation, causal inference techniques, etc. Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results; building tools for experiment analysis etc.
- Creating and tracking success metrics. Identify the right measures of success for engineering teams and help them track those metrics. Break down high-level metrics into actionable segments. This work may span from collecting entirely new datasets to building dashboards to track components of a metric (e.g., monitoring conversion data for missing values, implausible values, duplicated data, etc. by advertiser over time).
- Leadership: Lead and mentor the scope of work for data scientists in the same area, demonstrating high-quality output of both yourself and others for whom you are responsible. Provide continuous and candid feedback, recognizing individual strengths and contributions and flagging opportunities to improve performance.
What we’re looking for:
- Bachelor’s/Master’s degree in a relevant field such as Data Science, or equivalent experience
- 5+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.
- Strong fundamentals in statistics, experimentation.
- Domain knowledge in ecosystem, ads, or real-time-bidding.
- Proven ability to apply scientific methods to solve real-world problems on web-scale data.
- Proficiency in SQL/Hive/Python.
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
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At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
$164,428—$287,749 USD
Our Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
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Навыки
- Data Science
- Statistics
- Experimentation
- Causal Inference
- SQL
- Hive
- Python
- Modeling
- Ads Technology
- Real-Time Bidding
Возможные вопросы на собеседовании
Проверка понимания специфики рекламного бизнеса и умения находить баланс между доходами и пользовательским опытом.
Как бы вы подошли к оценке компромисса (trade-off) между увеличением плотности рекламы и долгосрочным удержанием пользователей?
Causal inference является ключевым навыком для этой роли в Pinterest.
Расскажите о случае, когда вы использовали методы причинно-следственного вывода для оценки влияния изменения продукта, которое нельзя было протестировать через стандартное A/B тестирование.
Вакансия подразумевает работу с ценообразованием и сегментацией.
Какие признаки (features) вы бы включили в модель сегментации рекламодателей для оптимизации стратегии ценообразования?
Проверка технических навыков работы с большими данными.
Опишите ваш опыт оптимизации сложных SQL/Hive запросов при работе с терабайтными наборами данных.
Роль Senior предполагает лидерство и наставничество.
Как вы подходите к предоставлению конструктивной обратной связи менее опытным коллегам, чьи аналитические выводы кажутся вам ошибочными?
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- Страна
- США
- Зарплата
- 164 428 $ – 287 749 $