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reddit
Страна
США
Зарплата
190 800 $ – 267 100 $
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SeniorУдалённоПолная занятость

Senior Data Scientist, Ads

Оценка ИИ

Отличная вакансия в топовой технологической компании с прозрачной и высокой оплатой, гибким графиком и сильным социальным пакетом.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена требованиями к ученой степени (M.S./Ph.D.), глубоким знаниям в области причинно-следственного вывода (causal inference) и многолетнему опыту в рекламных технологиях.

Анализ зарплаты

Медиана215 000 $
Рынок175 000 $ – 280 000 $
Оценка ИИ

Предлагаемая зарплата ($190k - $267k) находится на верхнем уровне рыночных ожиданий для Senior Data Scientist в США, особенно для удаленного формата работы. Она полностью соответствует стандартам Tier-1 компаний (Big Tech).

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 causal inference, I have consistently delivered data-driven insights that optimize advertising performance and user engagement. My expertise in Python, SQL, and large-scale data processing with Spark aligns perfectly with Reddit's mission to build a highly differentiated and community-centric ads business.

Throughout my career, I have focused on translating complex product requirements into robust statistical solutions, particularly in the areas of anomaly detection and experimental design. I am particularly drawn to Reddit's unique position in the digital advertising landscape and the challenge of maximizing advertiser value while maintaining the authenticity of community conversations. I am eager to bring my technical skills and passion for the platform to help Reddit achieve its ambitious growth goals.

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Составьте идеальное письмо к вакансии с ИИ-агентом

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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.

Location: US remote-friendly

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:

  • Comprehensive Healthcare Benefits and Income Replacement Programs
  • 401k with Employer Match
  • 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
  • Flexible Vacation & Paid Volunteer Time Off
  • Generous Paid Parental Leave

#LI-Remote

Pay Transparency:

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is:

$190,800—$267,100 USD

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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Создайте идеальное резюме с помощью ИИ-агента

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Навыки

  • Python
  • R
  • SQL
  • Machine Learning
  • Statistics
  • Causal Inference
  • Experimental Design
  • Spark
  • Hadoop
  • Hive
  • BigQuery
  • Scikit-learn
  • TensorFlow
  • PyTorch
  • A/B Testing

Возможные вопросы на собеседовании

Позиция Senior предполагает работу с рекламными метриками и оптимизацией ценности для рекламодателей.

Как бы вы подошли к измерению инкрементального эффекта (incrementality) рекламной кампании на Reddit, учитывая специфику сообществ?

В описании вакансии упоминается разработка моделей для обнаружения аномалий.

Опишите ваш опыт разработки систем обнаружения аномалий в рекламном трафике. Какие алгоритмы вы использовали и как оценивали их точность?

Работа требует взаимодействия с инженерами и менеджерами продуктов.

Расскажите о случае, когда вам пришлось переводить сложные технические выводы DS-модели на язык бизнес-решений для стейкхолдеров.

Reddit использует Spark и BigQuery для обработки огромных массивов данных.

С какими основными проблемами производительности вы сталкивались при обработке терабайтных наборов данных в Spark и как вы их решали?

Вакансия требует навыков менторства.

Как вы подходите к процессу код-ревью и наставничеству младших специалистов для повышения общего качества кода в команде?

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reddit
Страна
США
Зарплата
190 800 $ – 267 100 $