Principal Data Scientist, User Ecosystem
网易博客是社区的社区。它建立在共同利益,激情和信任之上,也是互联网上最开放且真实的对话所在地。每天,Reddit 用户提交,投票,评论他们最关心的话题。拥有超过10万个活跃社区和约13000万名每日活跃的独特访问者,Reddit 是互联网最大的信息来源之一。更多信息请参观 www.redditinc.com. 我们正在寻找一个非常高级的数据科学思想领导者,以塑造 Reddit 如何理解和改善用户/消费者的飞轮生态系统。这个角色将定义主要消费者问题测量,建模和实验策略:用户如何发现价值,形成习惯并深化参与;我们如何了解和服务于用户意图;内容和社区如何发展;以及我们的系统如何为用户,贡献者,社区和 Reddit 创造持久价值。理想候选人将在一或多个消费学领域带来深刻专业知识,如:· 推系统和信息检索 ·用户建模,个性化,生命周期,LTV 或优化 ·内容,社区或生态系统建模 ·用户,内容和社区的知识图表和表示 ·因果推理,实验和长期消费者测量你将与产品,工程,研究和社区领导人合作,将含糊不清的消费者问题转换为明确的科学问题,持久的分析系统以及改善 Reddit 规模的决策。你将做什么?·设定对具有影响力的消费者问题的科学方向,包括发现,相关性,个性化的,用户增长,保留,内容和社群。· 建立对用户,他们的意图,需求和导致持久价值的行为持续理解 · 在规模运行的系统中使用时间来代表用户,内容,社区及其关系的模型和框架开发 ·确定如何测量消费者和生态系统健康时目标竞争,短期参与可能与长期价值不同。·设定学习议程和引导实验策略以区分持久改善与临时计数运动。·构建最先进的测量系统来评估跨用户的异质影响。
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 is a complex consumer ecosystem where users, content, communities, and conversations interact over time. We are looking for a very senior data science thought leader to shape how Reddit understands and improves that ecosystem for the user / consumer flywheel.
This role will define the measurement, modeling, and experimentation strategy for major Consumer questions: how users discover value, form habits, and deepen engagement; how we understand and serve user intent; how content and communities evolve; and how our systems create durable value for users, contributors, communities, and Reddit.
The ideal candidate will bring deep expertise in one or more areas of consumer science, such as:
- Recommender systems and information retrieval
- User modeling, personalization, lifecycle, LTV, or optimization
- Content, community, or ecosystem modeling
- Knowledge graphs and representations of users, content, and communities
- Causal inference, experimentation, and long-term consumer measurement
You will partner with leaders across Product, Engineering, Research, and Community to turn ambiguous consumer problems into clear scientific questions, durable analytical systems, and decisions that improve Reddit at scale.
What you’ll do
- Set the scientific direction for high-impact Consumer problems spanning discovery, relevance, personalization, user growth, retention, content, and communities.
- Build a durable understanding of users, their intent, their needs, and the behaviors that lead to lasting value
- Develop models and frameworks that represent users, content, communities, and their relationships over time for use in systems that operate at scale
- Determine how to measure consumer and ecosystem health when objectives compete and short-term engagement may differ from long-term value.
- Set learning agendas and steer experimentation strategy to distinguish durable improvement from temporary metric movement.
- Build state-of-the-art measurement systems to evaluate heterogeneous effects across user personas, acquisition cohorts, platforms, content types, and community stages, and guide their actionability in production environments
- Ensure coherence around ecosystem interactions including feedback loops, selection effects, interference, distribution shift, content supply, and other ecosystem risks.
- Translate complex technical findings into clear product and business decisions.
- Develop exceptional scientists through mentoring and influence data science org health and direction
Requirements
- Deep expertise in at least one relevant area, with the breadth and curiosity to work across adjacent domains.
- A deep understanding of how to model and optimize systems involving users, content, communities, and feedback loops.
- Ability to frame and lead the most ambiguous questions, identify the most important uncertainties, and develop a rigorous path from evidence to action.
- Exceptional technical judgment across model design, objective selection, validation, experimentation, and production tradeoffs.
- Advanced knowledge of modern machine-learning methods for behavioral and content data, including representation learning and sequential or contextual models. Experience with deep-learning frameworks such as PyTorch or JAX.
- Experience working across Product, Engineering, Research, and other partner teams.
- Excellent written and verbal communication, with the ability to influence senior stakeholders and explain technical ideas clearly.
- Significant experience applying data science, machine learning, statistics, experimentation, or causal inference to complex consumer products.
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:
$313,000—$365,100 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.