Data Scientist, Ad Network – Global

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate with Product Managers and Business Leaders to establish and monitor success metrics and KPIs such as CPC, CPA, and CPM.

• Create and maintain dashboards and reports for campaign performance, network adoption, and the impact of new advertisers and campaigns.

• Take ownership of the ClickHouse data model for the ad network.

• Design and implement aggregation tables that support machine learning, reporting, and in-app dashboarding.

• Conduct in-depth analyses to identify patterns and pain points.

• Convert data insights into actionable recommendations that influence the product roadmap and prioritization.

• Oversee data flows to detect issues and anomalies, including those arising from misconfigurations.

• Evaluate network health to balance publisher payouts and advertiser value, providing recommendations for improvements.

• Collaborate with Engineering and Data teams to enhance event tracking, instrumentation, and data quality.

• Develop a beehiiv universal entity resolution system in partnership with engineers.

• Maintain and enhance advertiser conversion attribution logic.

• Design and create a potential first-party subscriber enrichment product utilizing interaction data across beehiiv products.

• Work with ML on Brand Lift A/B test studies.

• Engage cross-functionally with Business Leaders, Engineering, and Machine Learning Engineers to identify friction points and opportunities.

• Assist in constructing the data model that underpins the ad network.

⛳️ Requirements

• 3+ years of experience in a highly technical role such as Data Analyst, Data Scientist, or Data Engineer.

• Strong SQL skills and experience with BI tools (e.g., Looker, Tableau, Mode, Metabase, or similar).

• Proficient in R or Python, with experience in data-driven research and statistical analysis (linear regression, k-means clustering).

• Familiarity with experimentation methodologies (A/B testing, multivariate testing).

• Experience in database data modeling to support reporting and analysis.

• Proficient with SQL ETL tools to define and materialize KPIs.

• Exceptional ability to interpret complex data into actionable insights and communicate effectively to both technical and non-technical audiences.

• Ideally, availability to work during EST hours.

• Experience in Ad Tech or Marketing is a plus.

• Familiarity with ClickHouse or another OLAP database is advantageous.

• Experience in building Entity Resolution systems or models is a plus.

• Experience with Graph Databases is a plus.

• Background in the creator economy or SaaS is an advantage.

• Comfortable operating in ambiguous, fast-paced environments.

• Ability to manage multiple priorities and stakeholders effectively.

• 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 (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).

• Competitive salary.