Data Scientist

Posted

arenaBay AreaHybridfull_timemid

Tech Stack

Solid badges = required, outlined = preferred

Responsibilities

  • Design, implement, and analyze A/B tests, multi-armed bandits, and quasi-experimental methods to measure the impact of product changes.
  • Apply causal inference techniques (e.g., difference-in-differences, propensity score matching) to estimate treatment effects in non-randomized settings.
  • Develop and refine retention measurement frameworks (e.g., cohort analysis, survival analysis, churn prediction).
  • Build and maintain scalable data pipelines using PySpark, SQL, or big data tools, and develop automated dashboards and reports.
  • Partner with product managers, engineers, and marketers to translate business questions into data-driven analyses and present findings to executive stakeholders.

Soft Skills

ExperimentationA/B TestingQuasi-Experimental MethodsExperimental DesignGrowth AnalyticsProduct AnalyticsMarketing Analytics

Benefits

  • Dental
  • Equity
  • Health Insurance
  • Vision

Culture

Mission-DrivenTransparencyCustomer-ObsessedWork-Life Balance

Requirements

Preferred: MS/PhD in Statistics, Economics, Computer Science, or a quantitative field
Regions: Us

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About arena
Industry: ai
Size: startup

Arena is a platform for evaluating how AI models perform in the real world, founded by researchers from UC Berkeley's SkyLab, with a mission to measure and advance the frontier of AI for real-world use. Tens of millions of people use Arena monthly to evaluate frontier systems.

View company profile →
Compensation
Equity: competitive equity