6 дней назад
Senior Data Scientist, Experimentation & AI Measurement
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist, Experimentation & AI Measurement (Experimentation/AI Measurement): Designing rigorous experimentation methods, self-service measurement capabilities, and frameworks for evaluating the impact of AI-assisted engineering tools with an accent on causal inference, applied statistics, and trustworthy decision-making. Focus on building automated experiment guardrails, connecting AI adoption to productivity and quality outcomes, and turning complex analyses into leadership-ready insights.
Location: Remote from anywhere in Mexico, with availability to travel to Mexico City for occasional office events
Company
is a U.S. real estate platform helping people buy, sell, finance, and rent homes while developing technology for the housing market.
What you will do
- Design, build, validate, and productionize statistically rigorous methods for online experiment design and analysis.
- Develop automated monitoring, alerting, ramp-plan, early-stopping, and guardrail-harm capabilities for reliable experimentation.
- Lead experiment design reviews for high-visibility launches and identify flawed populations, hypotheses, and launch criteria.
- Define measurement frameworks for AI-assisted engineering and development tools, connecting adoption with behavioral, productivity, quality, and financial outcomes.
- Apply causal-inference methods to AI product and tooling measurement and create leadership-ready narratives and self-service insights.
- Mentor scientists and analysts, share data science best practices, and lead workstreams end to end.
Requirements
- Strong applied experience in online experimentation, causal inference, frequentist and Bayesian methods, and experimental or quasi-experimental designs.
- Experience diagnosing experimentation failure modes such as sample ratio mismatch, interference, temporal exposure bias, and multiple comparisons.
- Experience measuring productivity or product quality from telemetry and documenting metric limitations.
- Proficiency in Python and SQL, including tools such as NumPy, pandas, and scikit-learn.
- PhD plus 2 years, MS plus 4 years, or BS plus 6 years of experience in a quantitative field such as Statistics, Econometrics, Data Science, Machine Learning, or Operations Research.
- Ability to own analyses end to end, communicate clearly with technical and executive audiences, and mentor others.
Nice to have
- Experience with AI/ML measurement, LLM-assisted analysis, or agentic tools.
Culture & Benefits
- Teleworker arrangement without a permanent corporate office workplace.
- Competitive base salary, benefits, and eligibility for equity awards based on experience, performance, and location.
- Distributed work through Cloud HQ, with flexibility to work from a productive location within Mexico.
- Inclusive environment supporting professional growth and transferable skills from non-traditional backgrounds.
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