- Страна
- США
- Зарплата
- 139 764 $ – 287 749 $
Откликайтесь
на вакансии с ИИ

Sr. Data Scientist, Core
Отличная позиция в топовой технологической компании с прозрачным и высоким диапазоном зарплаты. Роль предлагает работу над сложными задачами мирового масштаба и сильную культуру инклюзивности.
Сложность вакансии
Высокая сложность обусловлена требованиями к глубоким знаниям в области машинного обучения, эконометрики и статистики, а также необходимостью опыта работы с данными веб-масштаба (5+ лет). Процесс отбора включает специфическую философию интервью по ИИ, оценивающую не только знания, но и образ мышления.
Анализ зарплаты
Предлагаемый диапазон ($140k - $288k) полностью соответствует и даже превышает рыночные стандарты для Senior Data Scientist в Сан-Франциско. Верхняя граница диапазона значительно выше медианы, что отражает готовность компании платить за исключительную экспертизу и включает в себя потенциал для роста.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Data Scientist position within the Core organization at Pinterest. With over five years of experience in applying advanced statistical modeling and machine learning to web-scale data, I have a proven track record of transforming complex datasets into actionable product insights. My background in developing robust experimentation frameworks and my proficiency in Python and SQL align perfectly with Pinterest's mission to bring scientific rigor to product development.
Throughout my career, I have focused on building iterative analysis pipelines and collaborating closely with cross-functional teams to drive product innovation. I am particularly drawn to Pinterest's unique AI interview philosophy and your commitment to using AI as a partner in creativity. I am eager to bring my expertise in quantitative modeling and my passion for data-driven storytelling to help shape the next generation of experiences for Pinners, creators, and advertisers alike.
Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в pinterest уже сейчас
Присоединяйтесь к команде Pinterest и определяйте будущее продукта, которым пользуются миллионы людей по всему миру!
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.
As a Data Scientist in our Core organization, you will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world.
What you’ll do:
- Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love
- Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners
- Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development
- Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest
What we’re looking for:
- 5+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data
- Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields
- Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn
- A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output
- Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R)
- Excellent communication skills and ability to explain learnings to both technical and non-technical partners
- A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions
- Bachelor’s degree in Computer Science, a related field or equivalent experience
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-HYBRID
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
$139,764—$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.
Создайте идеальное резюме с помощью ИИ-агента

Навыки
- Python
- R
- SQL
- Machine Learning
- Deep Learning
- PyTorch
- TensorFlow
- Scikit-learn
- Statistical Modeling
- Econometrics
- Forecasting
- Data Analysis
Возможные вопросы на собеседовании
Вакансия требует опыта в эконометрике и статистическом моделировании для решения бизнес-задач.
Расскажите о случае, когда вы использовали эконометрические методы для оценки причинно-следственной связи в продуктовых изменениях.
Pinterest уделяет большое внимание культуре экспериментов и научной строгости.
Как вы подходите к проектированию экспериментов в условиях сетевых эффектов или высокой волатильности метрик?
Роль предполагает работу с огромными массивами данных и сложными структурами.
Опишите ваш опыт оптимизации конвейеров обработки данных (data pipelines) для анализа на уровне сотен миллионов пользователей.
Компания ищет кандидатов, умеющих работать в связке с ИИ и объяснять свои решения.
Как вы используете инструменты ИИ в своей повседневной работе для повышения продуктивности и как вы проверяете корректность их выводов?
Позиция требует тесного взаимодействия с продакт-менеджерами и дизайнерами.
Приведите пример, когда ваши аналитические выводы противоречили интуиции команды продукта. Как вы аргументировали свою позицию?
Похожие вакансии
Senior Data инженер
Senior MLOps Engineer (Platform Development / LLMOps)
Data Engineer / SAP HANA Developer (Senior)
Senior MLOps
Senior Data Scientist (Search)
Data Scientist (Senior / middle+)
1000+ офферов получено
Устали искать работу? Мы найдём её за вас
Quick Offer улучшит ваше резюме, подберёт лучшие вакансии и откликнется за вас. Результат — в 3 раза больше приглашений на собеседования и никакой рутины!
- Страна
- США
- Зарплата
- 139 764 $ – 287 749 $