Commercial Data Scientist

Iron Mountain

. Transform raw first- and third-party data streams into usable intelligence across customer, market, and competitive programs .

Posted 10/6/2026full-timeBogotá • ColombiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in transforming data into actionable insights through advanced analytics and machine learning techniques. Proficient in building and managing analytics programs that support strategic business decisions and enhance customer experience.

Highest-signal resume keywords

Data AnalysisMachine Learning TechniquesPython or RTableau or Power BIPredictive Statistical Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisMachine Learning TechniquesPredictive Statistical ModelingPythonRSQLVisualization ToolsAdvanced AnalyticsData TransformationCustomer Lifetime Value (CLV)

Tools & Technologies

TableauPower BILookerLangChainLlamaIndexVertex AICloud Data Platforms

Industry Keywords

Competitive IntelligenceMarket ResearchCustomer Experience (CX)B2B TechAnalytics Programs

Tech Stack

Tools & technologies

CloudPythonSQLTableau

About the role

Key responsibilities & impact

Transform raw first- and third-party data streams into usable intelligence across customer, market, and competitive programs
Build and manage analytics programs including Customer Lifetime Value (CLV), Account Health scoring, and Propensity to Buy
Implement advanced machine learning techniques, LLM orchestration, and RAG architectures
Build intelligent agents and automate business insights
Translate complex analytical findings into intuitive dashboards and reports using Tableau, Power BI, or Looker
Support Iron Mountain’s global growth strategy and critical commercial decisions

Requirements

What you’ll need

5+ years of experience in a data analysis or data science role, preferably within a large enterprise or B2B tech environment
Strong knowledge of Python or R, SQL, cloud data platforms, and predictive statistical modeling
Hands-on experience with visualization tools (Tableau, Power BI, or Looker)
Familiarity with AI frameworks like LangChain, LlamaIndex, or Vertex AI
Proven background supporting competitive intelligence, market research, or customer experience (CX) functions

Benefits

Comp & perks

Competitive compensation and benefits aligned with experience
Flexible work options/alternative work options to support work–life balance
Comprehensive health, wellness, and retirement plans
Opportunities for continuous learning and professional growth