
AI Model Developer
2 days ago
**Job Description**
We are seeking a highly motivated and skilled data scientist to join our team. As a data scientist, you will be responsible for building and maintaining large-scale models that predict job performance with greater accuracy than human interviews.
You will work closely with our engineering and product management teams to develop and deploy models that drive core product metrics such as match quality, time-to-hire, candidate experience, and revenue.
**Key Responsibilities**
- Defining key performance indicators (KPIs) for our ranking, interview analytics, and payouts systems.
- Designing and running A/B tests and quasi-experiments; turning results into product decisions within the same week.
- Creating source-of-truth dashboards and lightweight data models so teams can self-serve answers.
- Instrumenting events with engineers; improving data quality and latency from ingestion to insight.
- Prototyping quick models (from baselines to gradient boosting) to enhance matching and scoring.
- Helping evaluate large language model (LLM)-powered agents: designing rubrics, human-in-the-loop studies, and guardrail canaries.
**Required Skills and Qualifications**
- 0-2 years of experience in data science/analytics or similar; BS/BA in a quantitative field (or equivalent work).
- Strong SQL skills; Python for analysis; comfort with experiment design and causal thinking.
- Communicates clearly with engineers, PMs, and leadership; turns analysis into actionable insights.
- Nice-to-haves: dbt, dashboarding (Hex/Mode/Looker), marketplace or search/recommendation metrics, LLM/agent evaluation.
**Why You'll Thrive Here**
You have solid fundamentals in statistics, SQL, and Python, along with projects you're proud to showcase. You iterate fast – framing questions, testing, and shipping in days – and care as much about clarity of communication as p-values. Curiosity about LLM evaluation, retrieval, and ranking is a bonus; you'll learn alongside experienced professionals who've shipped at top tech companies.
**We Consider All Qualified Applicants**
We value diversity and inclusion in our workplace and provide reasonable accommodations upon request.
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