远程工作雷达

资深数据科学家 - 广告度量、信号与隐私

Staff Data Scientist - Ads Measurement, Signals, Privacy

其他限定地区(需当地身份)
公司Reddit
薪资未公开
工作地点Remote - United States
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2026-07-17
数据来源Greenhouse
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注意地域限制:该职位明确限定在 Remote - United States 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 的广告数据科学团队正在寻找一位经验丰富的资深数据科学家,以推动 Reddit 广告商体验的智能化发展。在这个职位中,你将对广告领域中具有高影响力的课题空间承担深入的责任,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,你将影响战略方向,设定高标准的技术要求,并推动广告部门一个或多个关键重点领域的跨职能项目。

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。设计方法,将平台内和平台外的行为联系起来,在尊重隐私的前提下最大化可触达性。
  • 推进提升方法与实验:负责 Reddit 品牌和转化提升产品的统计严谨性。创新实验设计,开发支持大规模、高速度、低偏差测试的基础设施,为广告商服务。
  • 提升预测性能的信号:定义新信号源的战略。你将数学量化这些信号的价值,并与建模团队合作,将它们纳入预测模型,直接提高出价效率和 ROAS(广告投资回报率)。
  • 定义真实情况与评估框架:解决行业范围内验证身份和度量的挑战。设计用于训练我们模型和衡量身份图增量影响的目标函数和真实数据集。
  • 通过跨职能和技术影响力领导:与工程、产品和销售团队深度协作,对齐战略目标,将洞察转化为行动,并推动执行。通过指导他人和倡导建模、实验和度量方面的最佳实践,设定高标准的技术要求。

资格:

要求:

  • 统计学、数学、物理学、经济学或运筹学专业的硕士或博士学历
  • 对于硕士毕业生:10 年以上相关工作经验
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’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:

  • 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:
$217,000—$303,900 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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