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Data Scientist (AI)

Формат работы
remote
Тип работы
fulltime
Грейд
senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Scientist (AI): Building predictive models and AI-enabled workflows for a real estate brokerage and media firm with an accent on RAG pipelines and lead scoring. Focus on deploying production-grade LLM outputs, designing complex knowledge graphs, and optimizing data transforms in Databricks.

Location: Must be based in Latin America

Company

hirify.global is a leading nearshore staff augmentation provider connecting top-tier Latin American tech professionals with US companies.

What you will do

  • Build and deploy advanced predictive models for lead scoring, agent matching, and conversion likelihood.
  • Develop production-grade RAG and GraphRAG pipelines and design retrieval and ranking systems for unstructured data.
  • Write robust data transforms in Databricks using SQL and PySpark.
  • Partner with engineering teams to ship model and LLM outputs to production environments utilizing Inngest.
  • Analyze MLS data to surface actionable market trends and feed data-driven product features.
  • Design and analyze product experiments using PostHog and build dashboards in Hex and Metabase.

Requirements

  • 5+ years of experience in data science or applied machine learning within a product-led company.
  • Must be based in Latin America.
  • Exceptional SQL proficiency, with mandatory experience in PostgreSQL.
  • Solid hands-on Python expertise (pandas, scikit-learn, statsmodels).
  • Demonstrated success building and deploying RAG or LLM-powered workflows in production.
  • Strong background in A/B test design, execution, and statistical analysis.

Nice to have

  • Experience with ClickHouse.
  • Experience with product analytics tools like Amplitude or Mixpanel.

Culture & Benefits

  • 100% remote work flexibility.
  • Competitive compensation paid in USD.
  • Paid time off for well-being and recharge.
  • High degree of autonomy and results-oriented work environment.
  • Opportunity to work with industry-leading US companies.

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