Commercial Data Scientist

ironmountain; Colombia; Ibrido; COP 90.000.000 - 150.000.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive compensation

Flexible work options

Health, wellness & retirement plans

Continuous learning and growth

Descrizione del lavoro

Iron Mountain is seeking an analytical Commercial Data Scientist to join our Global Marketing team. In this role you will transform raw data into actionable intelligence across customer, market, and competitive programs, using tools like Tableau, Power BI, or Looker.

You will develop and maintain models such as Customer Lifetime Value and Account Health scoring, deploy AI techniques and LangChain/LlamaIndex integrations, and translate findings into intuitive dashboards for stakeholders.

Competenze

• 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.

Mansioni

• 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.

Conoscenze

Data analysis

Data science

Competitive intelligence

Market research

Customer experience

Strumenti

Python

R

SQL

Tableau

Power BI

Looker

LangChain

LlamaIndex

Vertex AI

Descrizione del lavoro

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.

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.

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.