远程工作雷达

资深数据科学家, 广告

Staff Data Scientist, Ads

其他限定地区(需当地身份)
公司Reddit
薪资未公开
工作地点Remote - Ontario, Canada
地域资格限定地区(需当地身份)
时区要求无特别要求
用工类型未标注
发布时间2026-03-16
数据来源Greenhouse
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注意地域限制:该职位明确限定在 Remote - Ontario, Canada 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

Reddit 是一个由社区组成的社区。它建立在共同的兴趣、热情和信任之上,是互联网上最开放和真实的对话场所。每天,Reddit 用户提交、投票并评论他们最关心的话题。拥有 100,000 多个活跃社区,以及大约 1.3 亿日活跃独立访客,Reddit 是互联网上最大的信息来源之一。如需更多信息,请访问 www.redditinc.com

Reddit 拥有灵活的第一支远程工作团队。在 Reddit,我们继续通过招聘最优秀的人才来扩大我们的团队。我们完全支持远程办公,并将继续如此。

广告是 Reddit 的主要收入来源,我们有一个雄心勃勃的目标,将它发展成一个庞大的业务。尽管已经存在多个大型数字广告平台,但广告商正越来越多地被 Reddit 的热情社区所吸引。我们认为,以社区为中心的平台为 Reddit 建立高度差异化的广告业务创造了机会。

关于广告数据科学团队:

Reddit 的广告数据科学团队通过强大的数据基础、通过实验和前沿数据科学方法生成的指标和战略洞察,利用数据最大化广告商的价值。

我们在广告和平台度量、活动和创意管理、广告商增长与留存、变现以及品牌与社区互动的交叉领域,解决各种具有挑战性的问题。我们是一个高度协作的团队,由充满热情的数据科学家和工程师组成,他们不断推动机器学习和统计建模的可能边界。

关于该职位:

Reddit 的广告数据科学团队正在寻找一位经验丰富的高级数据科学家,以提升 Reddit 上广告商体验的智能水平。在这个职位中,您将深入负责广告领域中影响重大的问题空间,专注于度量、身份识别和信号质量。

这是一个高影响力、高自主性的职位,您将影响战略方向,设定高标准的技术要求,并在广告组织的一个或多个关键重点领域推动跨职能项目。

职责:

  • 设计广告身份的未来:开发/应用概率模型进行身份解析。设计将平台内和平台外行为关联的方法,以最大化可触达性,同时尊重隐私。
  • 推进提升方法论及 E
查看英文原文

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 130 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.

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:

Reddit’s Ads Data Science team is looking for a highly experienced Staff Data Scientist to advance the intelligence powering the advertiser experience on Reddit. In this role, you'll take deep ownership of a high-impact problem space within advertising, specializing in measurement, identity, and signal quality.

This is a high-impact, high-autonomy role where you'll influence strategic direction, set a high technical bar, and drive cross-functional initiatives across one or more critical focus areas in the Ads organization.

Responsibilities:

  • Design the Future of Ads Identity: Develop/employ probabilistic models for identity resolution. Design the methodology that links on-platform and off-platform actions to maximize addressability while honoring privacy.
  • Advance Lift Methodologies & Experimentation: Own the statistical rigor behind Reddit’s Brand and Conversion Lift products. Innovate experimental design and develop infrastructure that supports large-scale, high-velocity, low-bias testing for advertisers.
  • Maximize Signal for Predictive Performance: Define the strategy for new signal sources. You will mathematically quantify the value of these signals and work with modeling teams to incorporate them into predictive models, directly improving bidding efficiency and ROAS.
  • Define Ground Truth & Evaluation Frameworks: Solve the industry-wide challenge of validating identity and measurement. Design the objective functions and truth sets used to train our models and measure the incremental impact of our identity graph.
  • Lead Through Cross-Functional and Technical Influence: Collaborate deeply with engineering, product, and sales to align on strategic goals, translate insights into action, and drive execution. Set a high technical bar by mentoring others and championing best practices across modeling, experimentation, and measurement.

Qualifications:

  • Required:
  • Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research
  • For M.S. holders: 10+ years of industry experience in applied science or data science roles
  • For Ph.D. holders: 6+ years of industry experience in applied science or data science roles
  • Deep understanding of the ads ecosystem
  • Demonstrated expertise in at least one of the following areas:
  • Measurement & Experimentation at Scale (with focus on lift and attribution)
  • Identity Graph Creation & Resolution Methodology and Infrastructure
  • Predictive Modeling with Signal Loss
  • Advanced proficiency in statistical programming (Python or R) and SQL
  • Experience with machine learning or optimization techniques
  • Strong understanding of experimental design, causal inference, or A/B testing methodologies
  • Exceptional problem-solving and communication skills, with a track record of influencing product and engineering partners
  • Experience working in fast-paced, ambiguous environments with cross-functional teams

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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