Commercial Data Scientist for AI-Driven Growth | Flexible

Iron Mountain; Valle de Aburrá; On-site; MXN 600,000 - 900,000; Full time

Benefits offered by this job

Competitive compensation

Flexible work options

Health and retirement plans

Professional growth opportunities

Job summary

Iron Mountain seeks an analytical Commercial Data Scientist to join our Global Marketing team. You’ll transform complex customer, market, and competitive data into actionable insights and dashboards, powering AI-driven analytics and intelligent agents for global growth.

Bring extensive data science experience and AI tooling skills to drive strategic commercial decisions. Lead the development of models such as CLV and Account Health scoring, and translate findings into intuitive visuals for

Qualifications

• 5+ years of experience in data analysis or data science.
• Strong knowledge of Python or R, SQL, cloud data platforms, and predictive statistical modeling.
• Hands-on experience with visualization tools and AI frameworks.

Responsibilities

• Transform raw first- and third-party data streams into usable intelligence across customer, market, and competitive programs.
• Develop and manage analytics models including CLV and Account Health scoring.
• Deploy AI and generative tools with LLM orchestration and RAG architectures to build intelligent agents.
• Translate analytical findings into dashboards and reports using Tableau/Power BI/Looker.

Skills

Data analysis

Data science

Python

SQL

Cloud platforms

Predictive modeling

Tableau

Power BI

Looker

LangChain

LlamaIndex

Vertex AI

Competitive intelligence

Market research

CX analytics

Tools

Tableau

Power BI

Looker

Job description

Iron Mountain seeks an analytical Commercial Data Scientist to join our Global Marketing team. You’ll transform complex customer, market, and competitive data into actionable insights and dashboards, powering AI-driven analytics and intelligent agents for global growth.

Bring extensive data science experience and AI tooling skills to drive strategic commercial decisions. Lead the development of models such as CLV and Account Health scoring, and translate findings into intuitive visuals for