Commercial Data Scientist

Iron Mountain; Bogotá ciudad; Hybrid; COP 120,000,000 - 180,000,000; Full time

Benefits offered by this job

Competitive compensation

Flexible work options

Health & retirement plans

Continuous learning

Job summary

Iron Mountain is seeking an analytical Commercial Data Scientist to join our Global Marketing team. The role focuses on transforming complex customer, market, and competitive data into actionable tools that drive our growth strategy.

You will power AI-driven analytics models and intelligence platforms to quantify value and guide critical commercial decisions. Responsibilities include leading data execution, developing commercial models such as CLV and account health scoring, deploying AI tools,

Qualifications

• 5+ years of experience in a data analysis or data science role.

Responsibilities

• Lead technical data execution: transform raw data streams into usable intelligence across customer, market, and competitive programs.
• Develop and maintain commercial models: build analytics programs including CLV, Account Health scoring, and Propensity to Buy.
• Deploy AI and generative tools: implement ML techniques, LLM orchestration, and RAG architectures to build intelligent agents and automate insights.
• Synthesize actionable insights: translate findings into dashboards/reports using Tableau, Power BI, or Looker.

Skills

Data analysis

Python

SQL

Cloud platforms

Predictive modeling

Tableau

Power BI

Looker

LangChain

Tools

Tableau

Power BI

Looker

Job description

COL | Bogotá | Av Cra 45

COL | Sabaneta | Carrera 44, 57 Sur 62

COL | Malambo | Calle 10, 39-06

MEX | Jalisco | Av. Prolongación del Colli, 1104

COL | Yumbo | Calle 11, 32-47 Bodega 5

MEX | Nuevo León | Miguel Hidalgo

Full time

J0107797

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 Commercial Data Scientist to join our Global Marketing team.

In this role, you’ll have the opportunity to transform complex customer, market, and competitive data into actionable tools that directly drive our global growth strategy. Working alongside a collaborative team, your technical expertise will power AI-driven analytics models and intelligence platforms that help quantify value and guide critical commercial decisions.

What You’ll Do

In this role, you will:

• Lead technical data execution: Transform raw first- and third-party data streams into usable intelligence across customer, market, and competitive programs.

• Develop and maintain commercial models: Build and manage analytics programs including Customer Lifetime Value (CLV), Account Health scoring, and Propensity to Buy.

• Deploy AI and generative tools: Implement advanced machine learning techniques, LLM orchestration, and RAG architectures to build intelligent agents and automate business insights.

• Synthesize actionable insights: Translate complex analytical findings into intuitive dashboards and reports using tools like Tableau, Power BI, or Looker.

What You’ll Bring

The ideal candidate will have:

• 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) and familiarity with AI frameworks like LangChain, LlamaIndex, or Vertex AI.

• Proven background supporting competitive intelligence, market research, or customer experience (CX) functions.

What We Offer (Benefits)

• 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

Iron Mountain is a global leader in storage and information management services trusted by more than 225,000 organizations in 60 countries. We safeguard billions of our customers’ assets, including critical business information, highly sensitive data, and invaluable cultural and historic artifacts. Take a look at our history here.

Iron Mountain helps lower cost and risk, comply with regulations, recover from disaster, and enable digital and sustainable solutions, whether in information management, digital transformation, secure storage and destruction, data center operations, cloud services, or art storage and logistics. Please see our Values and Code of Ethics for a look at our principles and aspirations in elevating the power of our work together.

If you have a physical or mental disability that requires special accommodations, please let us know by sending an email to [e-mail]. See the Supplement to learn more about Equal Employment Opportunity.

Iron Mountain is committed to a policy of equal employment opportunity. We recruit and hire applicants without regard to race, color, religion, sex (including pregnancy), national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law.

To view the Equal Employment Opportunity is the Law posters and the supplement, as well as the Pay Transparency Policy Statement, CLICK HERE Requisition: J0107797