Data Scientist ( Full time position, $130k-$300k/yr )
Our client trains large-scale models that predict on-the-job performance more accurately than any human interview.
In your first year, you will -
- Ship, analyse and experiment that move core product metrics—match quality, time-to-hire, candidate experience, and revenue.
- 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.
- Help evaluate LLM-powered agents: design rubrics, human-in-the-loop studies, and guardrail canaries.
You’ll thrive if
- you have solid fundamentals (statistics, SQL, Python) and projects you’re proud to demo.
- you iterate fast—frame the question, test, and ship in days—and care as much about clarity of communication as you do about p-values.
- you are curiosity about LLM evaluation, retrieval, and ranking is a bonus
- you are willing to learn alongside folks who’ve shipped at Jane Street, Citadel, Databricks, and Stripe.
Qualifications
- 0–2 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.
- Ability to communicate 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.
Perks
- $20K relocation bonus
- $10K housing bonus
- $1K/month food stipend
- Equinox membership
- Health insurance
