Iron Mountain
Iron Mountain
Iron Mountain tashkilotlarga jismoniy va raqamli aktivlarini himoya qilish, tartibga solish hamda ulardan amaliy foydalanishda yordam beradigan axborotni boshqarish va logistika xizmatlarini taqdim etadi. Kompaniya faoliyati hujjatlarni saqlash, raqamli transformatsiya, ma’lumotlar va IT xavfsizligi, aktivlarning hayotiy siklini boshqarish, omborxona hamda logistika xizmatlarini o‘z ichiga oladi. Moliyaviy xizmatlar, sog‘liqni saqlash, davlat sektori va energetika kabi sohalarga 60 dan ortiq mamlakatda xizmat ko‘rsatuvchi Iron Mountain axborotni bog‘lash va boshqarish uchun InSight Digital Experience Platform kabi texnologiyalarni xavfsiz jismoniy infratuzilma bilan birlashtiradi. Kompaniya mijozlarga ma’lumotlari va aktivlari qiymatini oshirishda ko‘maklashar ekan, xavfsizlik bilan bir qatorda barqarorlikka ham alohida e’tibor qaratadi.

Mid-Senior Commercial Data Scientist - Iron Mountain, Bogotá On-Site

Iron Mountain is seeking a mid-senior Commercial Data Scientist in Bogotá to turn customer, market, and competitor data into actionable intelligence. The role develops AI-powered models and insight platforms that inform global growth and commercial decisions.

Tavsif

  • Convert first- and third-party data into practical intelligence for customer, market, and competitive initiatives
  • Develop and oversee analytics programs such as Customer Lifetime Value, Account Health scoring, and Propensity to Buy
  • Apply machine learning, LLM orchestration, and retrieval-augmented generation architectures
  • Create intelligent agents and automate the delivery of business insights
  • Present complex analytical results through clear dashboards and reports in Tableau, Power BI, or Looker
  • Contribute data-driven support to Iron Mountain’s global growth strategy and key commercial decisions

Talablar

  • At least five years of experience in data analysis or data science, ideally in a large enterprise or B2B technology environment
  • Strong command of Python or R, SQL, cloud data platforms, and predictive statistical modeling
  • Practical experience with Tableau, Power BI, Looker, or comparable visualization tools
  • Working familiarity with AI frameworks such as LangChain, LlamaIndex, or Vertex AI
  • Demonstrated experience supporting competitive intelligence, market research, or customer experience functions

Imtiyozlar

  • Compensation and benefits are aligned with experience
  • Flexible or alternative work options designed to support work-life balance
  • Comprehensive health, wellness, and retirement plans
  • Ongoing learning and professional development opportunities

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