
Building High-Impact AI Solutions
1 day ago
We're seeking a skilled professional to join our team as a Data Scientist. In this role, you will be responsible for building and training large-scale AI models that can predict on-the-job performance with high accuracy.
The ideal candidate will have a strong foundation in statistics, SQL, and Python programming languages. They should also have experience working with experiment design and causal thinking.
- Key Responsibilities:
- Define metrics for ranking, interview analytics, and payouts systems.
- Design and run A/B tests and quasi-experiments; turn results into product decisions within a week.
- Build source-of-truth dashboards and lightweight data models for self-served answers.
- Instrument events with engineers; improve data quality and latency.
- Prototype models to improve matching and scoring.
- Evaluate LLM-powered agents: design rubrics, human-in-the-loop studies, and guardrail canaries.
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.
- Communicates crisply with engineers, PMs, and leadership; turns analysis into action.
What We Offer:
We consider all qualified applicants without regard to protected characteristics and provide reasonable accommodations upon request.
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