Data Scientist, Ad Network (global)

beehiiv is hiring a Data Scientist to support its Ad Network team with insights, analytics, and data pipelines for growth and optimization.

Responsibilities

• 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 the impact of new advertisers and campaigns
• Own and develop the ClickHouse data model for ad network analytics
• Design and implement aggregation tables to support ML, reporting, and in-app dashboarding
• Run deep-dive analyses to identify patterns and pain points across the network
• Translate findings into recommendations that influence product roadmap and prioritization
• Monitor data flows for issues and anomalies, including those caused by misconfigurations
• Analyze network health to balance publisher payouts with advertiser value, and recommend changes to improve the balance
• Collaborate with Engineering and Data teams to improve event tracking, instrumentation, and data quality
• Build out a universal entity resolution system in collaboration with other engineers
• Maintain and expand advertiser conversion attribution logic
• Design and build a potential 1st-party subscriber enrichment product using interaction data across beehiiv products
• Partner with ML to run Brand Lift A/B test studies

Requirements

• 3+ years of experience as a highly technical Data Analyst, Data Scientist, or Data Engineer
• Strong SQL skills and experience with BI tools such as Looker, Tableau, Mode, Metabase, or similar
• Experience with R or Python for research and statistical analysis (including linear regression and k-means clustering)
• Experience with experimentation methods including A/B testing and multivariate testing
• Experience with database data modeling to enable reporting and analysis
• Experience with SQL ETL tools to define and materialize KPIs
• Ability to clearly communicate complex data insights to both technical and non-technical audiences

Technologies

• SQL, Looker, Tableau, Mode, Metabase
• R, Python, ClickHouse
• A/B testing, multivariate testing

Benefits

• Competitive salary: USD 120,000 - 220,000 per year
• Stock options
• Health, dental, and vision insurance
• 401(k) employer match
• Unlimited PTO with a mandatory minimum of 10 days per year
• Annual in-person team offsite
• Unlimited book budget
• Monthly Wellness Days (every third Friday of the month)

Nice-to-Have

• Experience in Ad Tech or Marketing
• ClickHouse or another OLAP database
• Experience building entity resolution systems or models
• Experience with Graph Databases
• Creator economy or SaaS experience

Location

• United States (hybrid)

Note: This role is described as non-traditional 9-to-5, with multiple priorities and stakeholders, rapid iteration, frequent context switching, high expectations for speed and quality, and navigating complex organizational dynamics.