Data Scientist

Iron Mountain; Bogotá ciudad; On-site; COP 110,000,000 - 170,000,000; Full time

Job summary

Iron Mountain is seeking an analytical Data Scientist – AI, Predictive Intelligence & Agentic Solutions to join our Operations team in Bogotá. You will design and deploy predictive models, machine learning, and generative AI solutions that optimize core business workflows across Finance, CX, Sales, and Operations.

The ideal candidate has 5+ years in data science, strong Python/SQL skills, and hands-on experience with GCP, Vertex AI, BigQuery, and LLM APIs.

Qualifications

• 5+ years of data science or ML experience in enterprise settings.
• Proficient in Python, SQL and core ML techniques (Regression, Classification, NLP, Time Series).
• Experience with GCP stack: Vertex AI, BigQuery and LLM APIs.
• Experience deploying and monitoring production models (MLOps).
• Bachelor’s or Master’s Degree in a quantitative field.

Responsibilities

• Design and deploy predictive models for churn, collections, operational risk.
• Develop generative AI workflows and multi-agent solutions.
• Optimize AI economics balancing cost and latency.
• Collaborate with product and operations to roadmaps.
• Translate findings into BI dashboards.

Skills

Python

SQL

ML/AI

NLP

Time Series

Education

Bachelor's or Master’s in Data Science/CS/Engineering

Tools

GCP

Vertex AI

BigQuery

LLM APIs

Vector Search

Job description

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.

Category: Technology