Teams at tvScientific

Lead strategic relationships for gaming clients, launch and optimize programmatic CTV campaigns to meet CPA/CPI/ROAS targets, develop account plans and QBRs, drive upsell and retention, analyze funnels and metrics, collaborate with sales/product/AdOps, mentor junior staff, and use AI to accelerate campaign optimization.

Design and build simulation environments modeling CTV auction mechanics, bidding strategies, and campaign outcomes. Create counterfactual frameworks, AI agents for experimentation, and use simulation to validate ML deployments. Define technical direction and mentor engineers.

Design, build, and optimize scalable data infrastructure and pipelines on AWS using Spark/Scala. Store and model data in appropriate engines and formats, implement knowledge graphs accessible via batch jobs and APIs, enforce automated data quality checks, and collaborate with Data Science and Product teams to deliver performant, cost-effective data services.