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Senior Data Scientist, Ads
Reddit — это престижный бренд с уникальной культурой и огромными масштабами данных. Позиция предлагает полную удаленку, отличный социальный пакет и возможность напрямую влиять на основной доход компании.
Сложность вакансии
Высокая сложность обусловлена требованиями к ученой степени (Master/PhD), глубоким знаниям в области причинно-следственного вывода (causal inference) и специфическим опытом в рекламных технологиях (Ads ecosystem). Роль предполагает работу с огромными массивами данных и менторство.
Анализ зарплаты
Предлагаемая рыночная вилка для Senior Data Scientist в Канаде (удаленно для крупных тех-компаний) соответствует высоким стандартам индустрии. Reddit обычно предлагает конкурентоспособные зарплаты, сопоставимые с Tier-1 компаниями.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Data Scientist position within the Ads Data Science team at Reddit. With over five years of experience in developing machine learning models and a deep background in statistical modeling and causal inference, I have consistently delivered data-driven insights that drive product growth and advertiser value. My experience in the ads ecosystem, combined with my proficiency in Python and large-scale data processing using Spark and SQL, aligns perfectly with Reddit's mission to build a highly differentiated ads business.
Throughout my career, I have focused on translating complex product requirements into robust data science solutions, from anomaly detection to experimental design. I am particularly drawn to Reddit's community-centric approach and the unique challenges of maximizing advertiser ROI while maintaining the authenticity of user conversations. I am eager to bring my expertise in ML and my passion for the platform to help Reddit achieve its ambitious monetization goals while mentoring junior scientists in a collaborative, remote-friendly environment.
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Откликнитесь в reddit уже сейчас
Присоединяйтесь к команде Reddit и создавайте будущее рекламных технологий на основе данных!
Описание вакансии
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 121 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.
Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.
About the Ads Data Science Team:
The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods.
We work on a wide range of challenging problems in the areas of ads and platform measurement, campaign and creative management, advertiser growth and retention, monetization, and the intersection of brand and community engagement. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.
About the Role:
We are looking for a highly motivated and experienced Senior Data Scientist to join our growing Ads Data Science team. As a Senior Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve the adoption and performance of our advertising platform through data-driven insights. You will work closely with product managers, engineers, and other data scientists to identify opportunities, define metrics, and build solutions that drive significant impact for Reddit.
Responsibilities:
- Design, develop, and apply DS solutions to inform improvements in advertiser experience and Reddit's ad platform
- Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
- Collaborate with product managers and engineers to define product requirements and translate them into data science solutions
- Develop ML models & DS methods to improve anomaly detection, prediction, & pattern recognition
- Communicate findings and recommendations to stakeholders across the organization
- Stay up-to-date on the latest advancements in machine learning and data science
- Mentor and guide junior data scientists on the team
Qualifications:
- Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research
- For M.S. holders: 5+ years of industry experience in applied science or data science roles
- For Ph.D. holders: 4+ years of industry experience in applied science or data science roles
- Platform experience and a deep understanding of the ads ecosystem
- Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
- Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus
- Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
- Experience with SQL and relational databases
- Excellent communication and presentation skills
- Passion for Reddit and the online advertising industry
Bonus Points:
- Experience with online advertising and ad tech
- Experience with causal inference and A/B testing
- Contributions to open-source projects or publications in relevant conferences or journals
Benefits:
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Comprehensive Medical Benefits & Health Care Spending Account
- Registered Retirement Savings Plan with matching contributions
- Income Replacement Programs
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
#LI-Remote
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
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Навыки
- Python
- R
- SQL
- Machine Learning
- Statistical Modeling
- Causal Inference
- Experimental Design
- Spark
- Hadoop
- Hive
- BigQuery
- Scikit-learn
- TensorFlow
- PyTorch
- A/B Testing
Возможные вопросы на собеседовании
Позиция Senior требует глубокого понимания того, как изменения влияют на бизнес-метрики.
Как бы вы подошли к оценке инкрементального эффекта (incrementality) рекламной кампании на Reddit, учитывая сетевые эффекты сообществ?
Работа с данными Reddit требует навыков обработки Big Data.
Опишите ваш опыт оптимизации сложных SQL или Spark запросов при работе с терабайтными наборами данных.
Вакансия упоминает ML для обнаружения аномалий.
Какие методы вы бы использовали для обнаружения фрода или аномального поведения в рекламных кликах в реальном времени?
Causal inference — ключевой навык для этой роли.
В чем разница между простым A/B тестированием и методами синтетического контроля, и в каких случаях на платформе Reddit лучше применять второй вариант?
Роль Senior подразумевает взаимодействие с бизнесом.
Расскажите о случае, когда вам пришлось объяснять сложную статистическую концепцию нетехническому стейкхолдеру (например, Product Manager), чтобы изменить стратегию продукта.
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