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Data Scientist (AI/LLM)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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TL;DR
Data Scientist (AI/LLM) (Python/SQL): Building LLM-powered analytics workflows, data pipelines, and an insights generation platform that transforms customer data into conversational narratives across Salesforce, HubSpot, Shopify, and Google Analytics. Focus on integrating data sources with AI agents, evaluating LLM cost, speed, and accuracy, and developing metrics, anomaly detection, alerts, and reports.

Location: Remote-first

Company

Silicon Valley-headquartered product company building an AI-native analytics platform for automated and conversational business insights.

What you will do

  • Build and scale the insights generation platform for customer analytics.
  • Design LLM-based pipelines that transform structured data into actionable narratives.
  • Integrate customer data sources through APIs and ingestion pipelines for use by AI agents.
  • Identify and present business metrics across Salesforce, HubSpot, Shopify, Google Analytics, and other sources.
  • Evaluate LLM performance and improve cost, speed, and accuracy.
  • Own the data science workflow from requirements and collection through reporting, insights, alerts, and report generation.

Requirements

  • 3+ years of experience as a data scientist.
  • Strong Python and SQL skills; PostgreSQL is preferred.
  • Experience with modern LLM APIs, including OpenAI and Anthropic, and prompt engineering.
  • Understanding of metrics modeling, schema design, and orchestration.
  • Familiarity with data integration tools such as Airbyte and AWS/GCP.
  • Experience with observability or alerting systems, anomaly detection, or BI tools; strong communication, structured working habits, and attention to detail.

Culture & Benefits

  • Remote-first work environment.
  • Opportunity to work on an innovative AI-native analytics product.
  • Hardware compensation policy.
  • Stock options.
  • Competitive salary.

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