Data Scientist, Ad Network – Global

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $120k - $220k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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beehiiv

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

☁️ SaaS

📱 Media

🤝 B2B

SaaS • Media • B2B

beehiiv is a SaaS platform that enables creators, publishers, and businesses to build, grow, and monetize newsletters and publication websites with no-code tools. It provides a newsletter editor, website builder, AI automations, growth tools (referral programs, pop-ups, boosts), audience segmentation, analytics, and an integrated ad network and monetization features such as paid subscriptions and sponsorships. The platform targets individual creators, media brands, and businesses looking to publish content, engage audiences, and generate revenue from their newsletters and sites.

📋 Description

• Partner with Product Managers and Business Leaders to define and track success metrics and KPIs such as CPC, CPA, and CPM • Build and maintain dashboards and reporting for campaign performance, network adoption, and impact of new advertisers and campaigns • Own and build the ClickHouse data model for the ad network • Design and implement aggregation tables supporting machine learning, reporting, and in-app dashboarding • Design and conduct deep-dive analyses to uncover patterns and pain points • Translate data findings into recommendations influencing product roadmap and prioritization • Monitor data flows for issues and anomalies, including those caused by misconfigurations • Analyze network health to balance publisher payouts and advertiser value, and recommend improvements • Collaborate with Engineering and Data teams to improve event tracking, instrumentation, and data quality • Build a beehiiv universal entity resolution system with engineers • Maintain and expand advertiser conversion attribution logic • Design and build a potential first-party subscriber enrichment product using interaction data across beehiiv products • Work with ML on Brand Lift A/B test studies • Collaborate cross-functionally with Business Leaders, Engineering, and Machine Learning Engineers to identify friction points and opportunities • Help build the data model powering the ad network

🎯 Requirements

• 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 • Ideally, ability to work EST hours • Ad Tech or Marketing experience is nice-to-have • ClickHouse or another OLAP database experience is nice-to-have • Experience building Entity Resolution systems or models is nice-to-have • Experience with Graph Databases is nice-to-have • Creator economy or SaaS experience is a plus • Comfortable working in ambiguous, fast-paced environments • Ability to manage multiple priorities and stakeholders • Comfortable with rapid iteration and frequent context switching • Ability to navigate complex organizational dynamics

🏖️ Benefits

• 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) • Competitive salary