Data Scientist
Develop and deploy production-grade machine learning models, including demand forecasting and lead scoring. Build and scale generative AI products using RAG, vector search, and agentic coding frameworks.
Remote Data Scientist Jobs in Colombia
24 Data Scientist jobs in Colombia available for remote work from home. Apply for positions such as Data Scientist, DATA SCIENTIST, Data Scientist and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Develop and deploy production-grade machine learning models, including demand forecasting and lead scoring. Build and scale generative AI products using RAG, vector search, and agentic coding frameworks.
The Data Scientist will collect, clean, and analyze structured and unstructured data to solve business problems. They will also assist in building machine learning models and creating data visualizations to support product development.
Evaluate and red-team AI-generated data analyses to ensure statistical rigor and sound methodology. Build, train, and evaluate machine learning models while documenting assumptions and collaborating with cross-functional teams.
The Data Scientist will build and maintain data pipelines, features, and machine learning models within the Databricks platform to support marketing intelligence. They will also perform exploratory data analysis and collaborate with senior engineers to ensure model quality and effective deployment.
Design, develop, and optimize advanced Pricing and Revenue Growth Management models to support strategic commercial decisions. Collaborate with cross-functional teams to translate complex business challenges into statistically robust predictive models.
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You will design, build, and deploy predictive and prescriptive models to solve complex business challenges while leading end-to-end ML and GenAI projects. Additionally, you will mentor junior data scientists and communicate scientific methodologies to both technical and non-technical stakeholders.
Develop, deploy, and maintain predictive models for LTV, churn, and retention while owning the modeling roadmap. Partner with data engineering to productionize models and build AI-powered analytics tools to inform business decisions.
The role involves designing, implementing, and validating algorithmic components within a consulting project team. You will also develop services and APIs to integrate applications with algorithms while solving mathematical optimization and operations research problems.
The role involves building complex machine learning and econometric models to solve unstructured business problems while ensuring data stability and production scalability. You will also lead data sourcing efforts, mentor less experienced team members, and collaborate with stakeholders to translate model outcomes into business value.
The role involves leading the migration of an R-Framework to the cloud and optimizing integration with REST APIs and JSON structures. Additionally, the developer will drive large-scale data reconciliation and support the Risk department in streamlining deployment pipelines.
You will develop and deploy data-driven algorithms and machine learning models to improve the accuracy of the real-time identification platform. Additionally, you will lead technical strategies and foster a data-driven culture while managing projects from concept to production.
The Senior Data Scientist will lead cross-functional AI/ML initiatives and drive the enterprise-wide AI vision and strategy. Responsibilities include end-to-end model development for pricing and demand forecasting, as well as productionizing models using Azure ML and Databricks.
Define and track ad network KPIs, build dashboards and ClickHouse data models, and conduct analyses to identify network trends, issues, and opportunities. Improve data quality, attribution, entity resolution, and subscriber enrichment, and collaborate with product, business, engineering, and machine learning teams to guide decisions and run brand-lift experiments.
The Senior Data Scientist will partner with product and security teams to develop data strategies and AI-driven solutions for anti-abuse and safety. They are responsible for delivering quantitative insights, building measurement frameworks, and collaborating on product development to ensure platform integrity.
You will help build and scale data pipelines handling massive volumes of real-time predictions while designing experiments for model optimization. You will also collaborate with engineering teams to refine data processing and implement machine learning solutions for ad-tech products.
You will partner with cross-functional teams to develop data-driven strategies and influence product roadmaps through quantitative analysis and experimentation. Additionally, you will communicate complex insights to leadership using storytelling techniques to shape product development and measure success.
Design, build, and scale production-grade generative and agentic AI solutions to drive business impact. Lead model development and deployment across cloud platforms while mentoring a high-performing data science team.
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Own and ship end-to-end machine learning models for vendor matching, order routing, and supply chain optimization. Implement decision logic for agentic AI and quantify the business impact of data science initiatives.
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.
Develop data infrastructure and production-ready models to accelerate the investment process for hedge funds and family offices. Partner with investment teams to turn large datasets into actionable insights and build portfolio company dashboards.
The role involves collecting, cleaning, and validating data from various sources to generate reports and dashboards. Additionally, the candidate will support automation workflows and AI-powered data processes using APIs from platforms like Google, Meta, and TikTok.
Design, develop, and deploy machine learning models and predictive analytics solutions to support strategic business decisions. Collaborate with engineering and business teams to build scalable data pipelines and mentor junior data scientists.
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.
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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