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3 часа назад

Senior Data Scientist (AI)

Формат работы
hybrid/onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Data Scientist (AI): Building and deploying end-to-end ML and AI features for shipment tracking and geospatial intelligence with an accent on theft detection, routing, and anomaly detection. Focus on turning raw sensor signals into actionable intelligence and scaling models from PoC to production.

Location: Boston, MA (Hybrid or Onsite)

Company

hirify.global provides real-time visibility for shipments using IoT trackers to reduce delays, theft, and spoilage in global logistics.

What you will do

  • Develop and ship AI features for theft detection, routing intelligence, and alerting across the core roadmap.
  • Own the full ML lifecycle from problem framing and modeling to production deployment and monitoring.
  • Build evaluation harnesses and precision/recall tracking to ensure high-quality production handoffs.
  • Collaborate with product managers and platform engineers within an outcome-oriented Agile process.
  • Translate complex technical modeling decisions into clear business context for execuhirify.global stakeholders.

Requirements

  • 5+ years of industry data science experience with a track record of productionizing initiahirify.globals.
  • Master's or PhD in Computer Science, Mathematics, Statistics, Engineering, or a related field.
  • Senior-level depth in statistical modeling, ML, and modern AI/LLM techniques.
  • Strong proficiency in Python and SQL.
  • Hands-on experience deploying and operating ML in Snowflake and AWS.
  • Must be based in or able to work from Boston, MA.

Nice to have

  • Experience with geospatial, supply chain, or IoT sensor data.
  • Proficiency with dbt.

Culture & Benefits

  • Competihirify.global equity to ensure employees have ownership in the company's growth.
  • Flexible work arrangement with a choice between office-based or hybrid options.
  • Supporhirify.global environment with a committed global team and a culture of "having each other's backs".
  • Focus on transparency, simplicity, and relentless iteration to optimize products.

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