Data Scientist
Design, prototype, and ship machine learning models and LLM-powered pipelines for subscription media analytics products. Collaborate with cross-functional stakeholders to turn ambitious modeling ideas into production-scale features.
12 Data Scientist jobs in Colombia available for remote work from home. Apply for positions such as Data Scientist, Data Scientist, Senior Data Scientist and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Design, prototype, and ship machine learning models and LLM-powered pipelines for subscription media analytics products. Collaborate with cross-functional stakeholders to turn ambitious modeling ideas into production-scale features.
Develop probabilistic models to estimate customer lifetime value, transactional frequency, and conversion probability to maximize engagement and ROI. Implement propensity and churn models while measuring incremental impact through experimentation.
Design, train, and validate machine learning models for core business use cases such as credit risk scoring, growth forecasting, and customer segmentation. Collaborate with cross-functional teams to translate complex business problems into rigorous quantitative solutions and ensure successful model deployment.
The Senior Data Scientist will develop, deploy, and maintain production machine learning models within a cloud-native environment. They will also build data pipelines and collaborate with cross-functional teams to deliver scalable AI and ML solutions.
Develop, deploy, and maintain scalable machine learning models and data pipelines in a production cloud environment. Collaborate with engineering and business stakeholders to translate needs into data-driven solutions and monitor model performance.
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Design and implement AI-powered agents and RAG applications to automate workflows and enhance data retrieval. Collaborate with business teams to build data pipelines and derive actionable insights for global business decisions.
Develop intelligent solutions combining advanced analytics and Generative AI to solve real business challenges using Python and Azure. Design, test, and deploy AI models while creating technical documentation and supporting sales processes.
Design and build end-to-end data pipelines and machine learning models from development to production. Integrate Generative AI tools into the daily workflow to accelerate delivery and collaborate with stakeholders to solve business problems.
Design and build end-to-end data pipelines and machine learning models from development to production. Integrate Generative AI tools into the daily workflow to accelerate delivery and maintain high-impact data systems.
Deliver end-to-end data science projects from exploration and modeling to deployment and performance tracking. Collaborate with stakeholders to translate business opportunities into data-driven solutions and support presales activities.
The role involves analyzing enterprise processes to identify automation opportunities and designing/implementing AI strategies using GenAI and agentic systems to optimize operations across domains like procurement and inventory. Key tasks include developing architecture mappings and translating business needs into actionable, scalable AI solutions.
As a Data Scientist, responsibilities include executing ambitious client transformation projects through data and collaborating across divisions like Activation, Creativity, and Strategy to deliver integrated services. The role involves developing strong client relationships by applying technical skills to aid in the transformation of their marketing departments.
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