出海雷达

数据科学家,广告网络

Data Scientist, Ad Network

AI限定地区(需当地身份)与中国几乎无重叠,需长期倒时差
公司beehiiv
薪资未公开
工作地点United States
地域资格限定地区(需当地身份)
时区要求与中国几乎无重叠,需长期倒时差
用工类型permanent
发布时间21 天前
数据来源4dayweek.io
前往 4dayweek.io 查看并投递 →
注意地域限制:该职位明确限定在 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。
作息提示:与中国几乎无重叠,需长期倒时差。

beehiiv 是一个一体化的新闻通讯和创作者平台,为下一代媒体公司和独立声音提供支持。我们帮助创作者和企业启动、增长并实现新闻通讯的变现——目前服务数万名出版商,每月触达数亿读者。凭借超过 3000 万美元的年经常性收入、100% 的同比增长率以及新扩展的产品套件(广告网络、网站构建器、付费层级),我们正进入高速成长的新阶段。

我们正在寻找一名数据科学家,为我们的广告网络团队带来严谨的数据驱动方法。该职位将负责与广告网络相关的各种数据工作,包括商业智能报告、分析、数据库建模、实体解析、图数据库建模和聚类。你将推动洞察力和数据管道的建设,帮助我们为出版商和广告主优化和增长我们的网络。你将与业务领导、工程团队和机器学习工程师跨职能合作,识别痛点,发现机会并提供可操作的见解。你还将帮助构建支撑这一切的数据模型。

这个职位介于产品数据分析师(与业务相关方和高级管理层紧密合作)和能够负责广告网络数据栈(包括数据建模、报告、分析和一些机器学习)的人之间。

薪酬将根据技能、经验和所在地进行调整。理想情况下,候选人可以工作东部时间。

理想的候选人应具备:

- 3 年以上作为高度技术型数据分析师、数据科学家或数据工程师的经验
- 出色的 SQL 技能,以及使用 BI 工具(如 Looker、Tableau、Mode、Metabase 或类似工具)的经验
- 使用 R 或 Python 进行数据驱动的研究和统计分析的经验(如线性回归、k 均值聚类)
- 使用实验方法论(A/B 测试、多变量测试)的经验
- 使用数据库建模来支持报告和分析的经验
- 使用 SQL ETL 工具定义和实现 KPI 的经验
- 极强的能力将复杂数据转化为可操作的见解,并能有效地与技术和非技术人员沟通

加分项:
- 有广告技术或市场营销领域的工作经验
- 使用过 ClickHouse 或其他 OLAP 数据库
- 有构建实体解析系统或模型的经验
- 有图数据库的经验

- 有创作者经济或 SaaS 经验者优先

查看英文原文

beehiiv is the all-in-one newsletter and creator platform powering the next generation of media companies and independent voices. We help creators and businesses launch, grow, and monetize newsletters—now serving tens of thousands of publishers and reaching hundreds of millions of readers monthly. With $30M+ ARR, 100% YoY growth, and a newly expanded product suite (ad network, website builder, paid tiers), we’re entering our next phase of hypergrowth.

We are looking for a Data Scientist to bring a rigorous, data-driven approach to our Ad Network team. This role will have a variety of responsibilities across all things data with respect to the ad network, such as BI reporting, analytics, database modeling, entity resolution, graph database modeling, and clustering. You will be driving insights and data pipelines that help us grow and optimize our network for both publishers and advertisers. You will work cross-functionally with Business Leaders, Engineering, and Machine Learning Engineers to identify friction points and surface opportunities and actionable insights.  You will help build the data model to power all of this.

This is a hybrid role between a Product Data Analyst who works closely with business stakeholders and senior leadership, and someone who can own the Ad Network Data Stack across data modeling, reporting, analysis, and some machine learning.

_Compensation will be based on skill set, experience, and location. Ideally, this candidate can work EST hours._

Ideally, you will have:

- 3+ years of experience as a highly technical Data Analyst, Data Scientist, or Data Engineer
- Excellent SQL skills and experience working with BI tools (e.g., Looker, Tableau, Mode, Metabase, or similar).
- Experience with R or Python, conducting data-driven research and statistical analysis ( linear regression, k-means clustering)
- Experience with experimentation methodologies (A/B testing, multivariate testing).
- Experience with database data modeling to power reporting and analysis
- Experience with SQL ETL tools to define and materialize KPIs
- Exceptional ability to translate complex data into actionable insights and communicate effectively with both technical and non-technical audiences.
- Nice-to-Have:
- You have worked in Ad Tech or Marketing before
- ClickHouse or another OLAP database
- Experience building Entity Resolution systems or models
- Experience with Graph Databases

- Creator economy or SaaS experience is a plus

What you'll be responsible for:

- Partner with Product Managers and Business Leaders to proactively define and track key success metrics and KPIs (CPC, CPA, CPM, etc.).
- Build and maintain dashboards and reporting to track campaign performance, network adoption, and impact of new advertisers and campaigns.
- Own and build out our Clickhouse data model with respect to the ad network.
- Design and implement aggregation tables to support ML, reporting, and in-app dashboarding.
- Proactively design and conduct deep-dive analyses to uncover patterns and pain points.
- Translate data findings into clear recommendations to influence product roadmap and prioritization.
- Monitor data flows for issues and anomalies - often caused by misconfigurations.
- Analyze network health to ensure we balance publisher payouts and advertiser value.  Recommend tweaks to improve this balance.
- Collaborate with Engineering and Data teams to improve event tracking, instrumentation, and data quality.
- Build out a beehiiv universal entity resolution system in collaboration with other engineers
- Maintain and expand our advertiser conversion attribution logic
- Design and build a potential 1st-party subscriber enrichment product using interaction data across beehiiv products.
- Work with ML on running Brand Lift A/B test studies

Why this role might be for you:

- You're a strategic operator with hands-on executional chops.
- You're comfortable working in ambiguous, fast-paced environments.
- You're obsessed with customer outcomes and accelerating company growth.
- You're a clear, concise communicator and can develop cohesive, data-driven narratives verbally and in writing.

Why this role might not be for you:

- Not a traditional 9-to-5 position
- Need to manage multiple priorities and stakeholders
- Not comfortable with rapid iteration and frequent context switching
- High expectations for both speed and quality
- Must navigate complex organizational dynamics

Why beehiiv?

Our values aren't a poster on the wall — they're the bar. It’s how we operate, publicly and privately, and what we should return to when making decisions. That’s how we keep our team's momentum. That’s how we hire and keep A players.

beehiiv’s values.

1. There's no room for B players ⭐: the best makes everyone better.
2. Maniacal sense of urgency ⚡: speed is our superpower.
3. Say what you think with positive intent 💬: disagree openly and give hard feedback directly, with the intent to help someone improve.
4. User-obsessed 🐝: every decision starts with one question: how does this add value for the user?
5. Ego comes second, winning comes first 🏆: we're here to create the best outcome; the team comes before the individual.

We'll take care of you:

- Competitive salary
- Stock options
- Health, dental, and vision Insurance
- 401(k) employer match

- Unlimited PTO (mandatory 10 days per year minimum)
- Annual in-person team offsite
- Unlimited book budget
- Monthly Wellness Days (every third Friday of the month)

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