At Iron Mountain we know that work, when done well, makes a positive impact for our customers, our employees, and our planet. That’s why we need smart, committed people to join us. Whether you’re looking to start your career or make a change, talk to us and see how you can elevate the power of your work at Iron Mountain.
We provide expert, sustainable solutions in records and information management, digital transformation services, data centers, asset lifecycle management, and fine art storage, handling, and logistics. We proudly partner every day with our 225,000 customers around the world to preserve their invaluable artifacts, extract more from their inventory, and protect their data privacy in innovative and socially responsible ways.
Are you curious about being part of our growth story while evolving your skills in a culture that will welcome your unique contributions? If so, let's start the conversation.
Iron Mountain is seeking an analytical Data Scientist – AI, Predictive Intelligence & Agentic Solutions to join our Operations team.
In this role, you will play a key part in designing and deploying predictive models, machine learning, and generative AI solutions that directly optimize core business workflows across Finance, CX, Sales, and Operations. Working at the intersection of commercial strategy and advanced technical execution, your work will help transform complex data into trusted, automated insights that drive measurable efficiency across the organization.
What You’ll Do
In this role, you will:
Predictive Modeling & Analytics: Build, validate, and deploy end-to-end predictive models for churn forecasting, collections, and operational risk.
Generative AI & Agentic Solutions: Design intelligent LLM workflows, RAG architectures, and multi-agent systems with robust guardrails.
AI Economics & Model Optimization: Balance model cost, latency, token efficiency, and speed to maximize commercial value.
Cross-Functional Collaboration: Partner with Product Managers, Operations, and Business leaders to shape AI and automation roadmaps.
Technical Delivery & Insights: Own ML projects from problem framing to deployment while translating complex findings into actionable BI dashboards.
What You’ll Bring
The ideal candidate will have:
5+ years of experience in data science, advanced analytics, or machine learning within enterprise environments.
Strong knowledge of Python, SQL, and core ML techniques including Regression, Classification, NLP, and Time Series.
Hands-on experience with modern AI stacks like GCP, Vertex AI, BigQuery, LLM APIs, and vector search.
Proven ability to deploy, monitor, and govern production models using MLOps best practices.
Bachelor’s or Master’s Degree in Data Science, Computer Science, Engineering, Statistics, or a related quantitative field.
What We Offer
Location: Bogotá (Hybrid - Min. 2 Days/Week in Office)
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.
Ready to shape the future of AI and advance your career with a trusted global leader? Apply today to unlock your potential with Iron Mountain.
Category: TechnologySkills Required
- 5+ years of experience in data science, advanced analytics, or machine learning within enterprise environments
- Strong knowledge of Python and SQL
- Experience with regression, classification, NLP, and time series machine learning techniques
- Hands-on experience with GCP, Vertex AI, BigQuery, LLM APIs, and vector search
- Experience deploying, monitoring, and governing production models using MLOps best practices
- Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Statistics, or a related quantitative field
Iron Mountain Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Iron Mountain and has not been reviewed or approved by Iron Mountain.
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Inclusive Benefits Coverage — Inclusive, modern offerings are emphasized, including support for mental health, gender‑affirming care (with travel/lodging where needed), and family‑planning benefits. Recognition for disability inclusion is also highlighted, which aligns with accessible benefits and leave support.
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Retirement Support — A formal 401(k) program is described with automatic enrollment and a clear employer match structure, with immediate vesting referenced in the materials. Access to supporting infrastructure and guidance is noted through dedicated benefits portals and administrators.
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Healthcare Strength — Multiple national medical plan options are outlined, along with care navigation, virtual primary care, and pharmacy coverage. Additional wellbeing support is described via EAP services and structured wellbeing programming.
Iron Mountain Insights
What We Do
Iron Mountain Incorporated (NYSE: IRM) is the global leader for storage and information management services. Trusted by more than 220,000 organizations around the world, Iron Mountain boasts a real estate network of more than 80 million square feet across more than 1,350 facilities in 45 countries dedicated to protecting and preserving what matters most for its customers. Iron Mountain’s solutions portfolio includes records management, data management, document management, data centers, art storage and logistics, and secure shredding help organizations to lower storage costs, comply with regulations, recover from disaster, and better use their information. Founded in 1951, Iron Mountain stores and protects billions of information assets, including critical business documents, electronic information, medical data and cultural and historical artifacts.
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