Data Scientist

Job summary

Responsibilities

In your first year you’ll ship analyses and experiments that move core product metrics, match quality, time-to-hire, candidate experience, and revenue. You’ll:

• Define north-star and feature-level metrics for our ranking, interview analytics, and payouts systems.
• Design/run A/B tests and quasi-experiments; turn results into product decisions the same week.
• Build source-of-truth dashboards and lightweight data models so teams can self-serve answers.
• Instrument events with engineers; improve data quality and latency from ingestion to insight.
• Prototype quick models (from baselines to gradient boosting) to improve matching and scoring.

What they're looking for

• 0–10 years in data science/analytics or similar; BS/BA in a quantitative field (or equivalent work).
• Strong SQL; Python for analysis; comfort with experiment design and causal thinking.
• Communicates crisply with engineers, PMs, and leadership; turns analysis into action.
• Nice-to-haves: dbt, dashboarding (Hex/Mode/Looker), marketplace or search/recommendation metrics, LLM/agent evaluation.

Tech stack

• SQL
• Python
• Databricks
• dbt
• Looker