> Markdown version of [/jobs/ext/2791619-data-scientist](https://www.wearedevelopers.com/jobs/ext/2791619-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Iron Mountain, Inc. - **Location:** Bogota, NJ, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, BigQuery, Program Optimization, Python (Programming Language), Machine Learning, Search Technologies, SQL Databases, Large Language Models, Multi-Agent Systems, Generative AI, Information Technology, Machine Learning Operations - **Published:** September 8, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pigmbyn3ps ## About the Role * 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. ## Description * 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1520-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)