3 часа назад
Analytics Engineer (AI)
160 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Analytics Engineer (AI) (Python/SQL): Building internal data products, canonical datasets, and end-to-end pipelines for analyzing petabytes of web search data with an accent on analytical rigor, data integrity, and scalable data systems. Focus on designing self-serve analytics and BI tools, optimizing query performance and cost, and owning A/B testing infrastructure for product and business experimentation.
Location: San Francisco, California; on-site
Salary: $160,000–$250,000 per year, plus equity
Company
is an applied AI lab building a large-scale search engine, web crawling infrastructure, embedding models, and high-performance vector databases.
What you will do
- Design and maintain canonical datasets that serve as sources of truth for company-wide metrics.
- Build end-to-end data pipelines for analyzing petabytes of web search data.
- Develop data products, self-serve tools, and internal BI tools for product, finance, marketing, and go-to-market teams.
- Create quantitative models for forecasting and experimentation.
- Own the A/B testing infrastructure used to evaluate product and business hypotheses.
- Lead analytics projects with substantial autonomy and cross-functional impact.
Requirements
- Strong proficiency in Python, SQL, and cloud services for data processing, warehousing, and orchestration.
- Experience establishing accurate metrics with analytical rigor and maintaining data integrity.
- Ability to drive data-informed decision-making and define rigorous data requirements based on business needs.
- Knowledge of statistical methods, time-series forecasting, experimental design, and hypothesis testing.
- Familiarity with database internals and reliable ETL/ELT pipelines.
- Experience optimizing queries and data systems for performance and cost.
Culture & Benefits
- Full-time, on-site engineering role in San Francisco.
- High autonomy in leading analytics projects.
- Opportunity to build systems used across the company and by large-scale search products.
- Equity included in the compensation package.
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