6 часов назад
Senior Data Scientist, AI Scoring & Evaluation (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist, AI Scoring & Evaluation (AI): Building trustworthy scoring and evaluation systems for AI-powered skills assessments with an accent on calibration, statistical analysis, quality monitoring, and human-to-AI agreement. Focus on designing continuous evaluation harnesses, detecting bias and drift, validating scoring improvements against expert-labelled data, and translating AI governance requirements into audit evidence.
Location: East
Company
is a Silicon Valley skills intelligence platform using proprietary AI agents to help organizations understand, mobilize, manage, and develop talent.
What you will do
- Own scoring quality end to end, including evaluator design, rubric anchoring, calibration, and accuracy against expert benchmarks.
- Build and operate continuous evaluation harnesses with gold sets, bias diagnostics, drift detection, and pre-release quality gates.
- Define and publish assessment quality KPIs, including human-to-AI agreement, reliability, classification accuracy, bias indicators, latency, and cost per assessment.
- Lead performance studies, impact simulations, root-cause investigations, and analytics that inform assessment and product decisions.
- Implement and coordinate measurement improvements with assessment technology and data engineering, owning specifications, validation, and quality standards.
- Support AI governance and InfoSec by translating frameworks such as GDPR and the EU AI Act into evidence for audits, security reviews, and enterprise diligence.
Requirements
- Senior-level production data science experience with independent end-to-end ownership of data projects.
- At least 4 years of experience, or 3 years with demonstrated end-to-end ownership, ideally in an AI startup or fast-moving product environment.
- Strong Python and SQL skills, with the ability to conduct analyses without engineering support.
- Advanced statistical and analytical skills, including reliability studies, performance analysis, and defensible evaluation methods.
- Production experience with LLM-based systems, including prompt design and evaluation against human judgment.
- Ability to explain quantitative results clearly to executives, customers, and other non-technical audiences.
Nice to have
- Experience with educational, learning, or assessment data.
- Background in psychometrics or educational measurement.
Culture & Benefits
- AI assistants, copilots, and automation tools are expected to be part of daily work.
- Teams are encouraged to automate workflows and build repeatable, scalable systems.
- The role operates in a small, senior, cross-functional environment spanning Engineering, Assessment Science, Design, Product, and Data Engineering.
- is backed by NEA, Jump Capital, and Owl Ventures and serves enterprise clients including Accenture, Siemens Energy, Samsung, and the United States Air Force.
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