Commercial Data Scientist

Iron Mountain; Malambo; On-site; COP 388,387,000 - 582,581,000; Full time

Benefits offered by this job

Competitive compensation

Flexible work options

Health and retirement plans

Continuous learning

Job summary

Iron Mountain is seeking an analytical Commercial Data Scientist to join our Global Marketing team. You’ll 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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

SQL

Statistical modeling

LangChain

LlamaIndex

Vertex AI

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.

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

• 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

• 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.

Requisition: J0107797