Thrad

Thrad

Data Scientist

San Francisco

Sponsorship not specifiedDetected 102 days ago
PythonSQLPostgreSQLRedisRESTdbtData ScienceComputer VisionStatisticsA/B Testing

About the role

  • We are looking for a Data Scientist to sit at the center of Thrad's decision-making.
  • Every day we serve millions of ad impressions across dozens of publishers and campaigns, and almost every meaningful question at the company (pricing, yield, publisher economics, advertiser performance, category expansion) is a data question.
  • This is not a dashboards-on-request role.

Responsibilities

  • Drive product and commercial decisions using data and causal reasoning, embedded directly in the engineering and go-to-market teams.
  • Design, implement, and execute experiments against live traffic. Analyze results rigorously and kill or scale them fast.
  • Build and maintain the dashboards and reports that both the team and our clients rely on.
  • Collaborate directly with the CTO, co-founders, and commercial team to translate data into action, often within the same day.

Requirements

  • An advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related field, or equivalent experience shipping analytical work that drove real decisions.
  • You know when to trust a number and when to distrust it.
  • Comfort with experimentation end to end: A/B testing, causal inference, power analysis, sample size calculations, and honest reporting of negative results.
  • You can explain a causal finding to an engineer, a founder, and a Fortune 500 client in the same afternoon.
  • Experience with ClickHouse or other column-oriented OLAP databases at scale.
  • Familiarity with dbt, Metabase, Hex, or similar tools.
  • Comfort reading production code to understand where data comes from and where it goes.

Nice to have

  • whatever the problem demands.
  • We pick tools that ship.
  • Example Projects
  • Plus: whatever the problem demands.
  • 2 to 5 years in data science, analytics engineering, or quantitative analysis.

Benefits

  • Meaningful equity in a company at the intersection of two massive markets: AI and ad tech.
  • Bonus if you have worked on marketplaces, ads, or other high-velocity data products.

Company info

  • We are defining a new category.
  • Paid ads in AI is an inevitable market and we are building the infrastructure for it.

This listing is sourced directly from Thrad's careers page and normalized into a canonical job model.