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Strong Middle Data Scientist

Colombia · Job Posted June 14, 2026
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Job Description

Are you ready to take part in the upcoming AI revolution of the business world? If the answer is a resounding 'yes,' we have an extraordinary opportunity for you! What project we have for you Our client is a B2B SaaS company building an AI-powered decision intelligence app for enterprises. Our mobile-first platform combines company data with advanced machine learning, large language models and agentic AI to give business leaders clear, actionable insights in real time. Instead of traditional dashboards and reports, our client delivers simple, personalized recommendations that help teams decide and act faster across finance, supply chain, R&D, commercial, and more. The app is designed to be intuitive for end users and easy to integrate for IT, so companies can move from analysis and indecision to confident, data-driven decisions every day. Founded in 2020 in Munich, our client has grown into a global team of 300+ people across Munich, Barcelona, Madrid, Cluj and New York. Our mission is to democratize AI in business and enable leaders to Lead Boldly, turning complex data into decisions that drive real, measurable impact. We are looking for Data Scientists who are passionate about the power of AI and who thrive at the intersection of business, analytics, and AI: someone who not only trains models but also deeply understands the business context in which they’re applied. Your job is to make sure AI is solving the right problems, using the right approaches, and driving measurable impact. What you will do About this role – Domains Department The Data Science Domains Department powers business-critical decision-making across four key areas of enterprise operations. We build and deploy AI-driven features that transform how business leaders understand and act on complex data challenges in their specific domains. Each domain has distinct requirements, challenges, and opportunities—but all share the mission of delivering real-time, actionable AI insights that drive measurable business impact. Our Four Domains: Finance (FIN), Manufacturing & Supply Chain (M&S), Research & Development (R&D), Cross-Functional (XF). Responsibilities: Build and maintain AI-driven features (forecasting, classification, regression, recommender systems, LLM-powered features) for business use cases; Contribute to app features with guidance from mid/senior teammates; improve models, pipelines, and deliverables; Present results and findings to your team; identify gaps and learn to explain the product and the AI behind it; Deliver assigned tasks autonomously and on time with clear ownership; Have strong Python/SQL skills, basic MLOps knowledge (Airflow, MLflow, unit testing), and solid ML fundamentals; Own features of the app; constantly improve models, pipelines, and monitoring to ensure robust production performance; Communicate and align with internal stakeholders; identify opportunities and explain AI behind business outcomes; Design end-to-end ML pipelines for small projects; mentor junior team members on technical topics; Have comprehensive MLOps expertise, advanced Python/SQL skills, and domain specialization; enforce code quality standards across the team; Own key features and projects; design and improve models, pipelines, and experimentation frameworks; Lead 1+ major projects as AI lead with full accountability; break down work, assign tasks, and manage multiple workstreams with stakeholder alignment; Communicate and align with internal/external stakeholders; turn business requirements into AI solutions; make speed vs. quality trade-offs; Provide technical mentorship; set modeling standards and drive cross-functional delivery with PMs, engineers, and customers. What you need for this: strong Python/SQL skills, MLOps knowledge (Airflow, MLflow, unit testing), Solid ML fundamentals, Define and own AI domain roadmaps, Leadership skills. What it’s like to work at Intellias: At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Job Responsibility

  • Build and maintain AI-driven features (forecasting, classification, regression, recommender systems, LLM-powered features) for business use cases
  • Contribute to app features with guidance from mid/senior teammates
  • improve models, pipelines, and deliverables
  • Present results and findings to your team
  • identify gaps and learn to explain the product and the AI behind it
  • Deliver assigned tasks autonomously and on time with clear ownership
  • Have strong Python/SQL skills, basic MLOps knowledge (Airflow, MLflow, unit testing), and solid ML fundamentals
  • Own features of the app
  • constantly improve models, pipelines, and monitoring to ensure robust production performance
  • Communicate and align with internal stakeholders
  • identify opportunities and explain AI behind business outcomes
  • Design end-to-end ML pipelines for small projects
  • mentor junior team members on technical topics
  • Have comprehensive MLOps expertise, advanced Python/SQL skills, and domain specialization
  • enforce code quality standards across the team
  • Own key features and projects
  • design and improve models, pipelines, and experimentation frameworks
  • Lead 1+ major projects as AI lead with full accountability
  • break down work, assign tasks, and manage multiple workstreams with stakeholder alignment
  • Communicate and align with internal/external stakeholders
  • turn business requirements into AI solutions
  • make speed vs. quality trade-offs
  • Provide technical mentorship
  • set modeling standards and drive cross-functional delivery with PMs, engineers, and customers

Requirements

  • strong Python/SQL skills
  • MLOps knowledge (Airflow, MLflow, unit testing)
  • solid ML fundamentals
  • Define and own AI domain roadmaps
  • Leadership skills

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