Data Scientist jobs in Colombia

Explore 4 matching jobs.

Robots & Pencils

Staff Data Scientist

Robots & Pencils

Posted: 10/20/2026
AWSCloudJavaPythonPyTorchScikit-LearnTensorflowC++
DaCodes.

Senior Data Scientist, IA Aplicada

DaCodes.

Posted: 10/13/2026
AWSGoogle Cloud PlatformPandasPythonScikit-LearnSQLTableau
Iron Mountain

Commercial Data Scientist

Iron Mountain

Posted: 10/6/2026
CloudPythonSQLTableau
Clara

Senior Data Scientist – Risk Modeling

Clara

Posted: 10/1/2026
CloudPythonPyTorchScikit-LearnSQL
Robots & Pencils

Staff Data Scientist

Robots & Pencils
Posted 10/20/2026full-timeRemote • Colombia, ArgentinaLeadWebsite
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Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in designing and deploying predictive and prescriptive models using machine learning and deep learning techniques, with a strong focus on operational efficiency and customer behavior analysis. Proven ability to collaborate across teams and communicate complex findings to diverse audiences.

Highest-signal resume keywords
Machine LearningDeep LearningStatistical ModelingPython ProgrammingData Analysis

Tech Stack

Tools & technologies
AWSCloudJavaPythonPyTorchScikit-LearnTensorflowC++

About the role

Key responsibilities & impact
  • Design, build, and evaluate predictive and prescriptive models across customer behavior, operational efficiency, and personalization
  • Apply machine learning, deep learning, and statistical techniques to real-world business challenges
  • Drive end-to-end ML and GenAI projects from proof of concept through production
  • Build, optimize, and deploy models into production with scientists and software engineers
  • Establish scalable, automated processes for large-scale data analysis, model development, validation, and serving
  • Run A/B and multivariate experiments and apply causal inference to validate hypotheses and measure impact
  • Analyze complex datasets and translate findings into strategic recommendations
  • Explain scientific methodology and results to technical and non-technical audiences using data visualization
  • Partner with product managers and business stakeholders to identify opportunities and frame data science solutions
  • Collaborate with data engineers, analysts, and software developers on scalable data-powered applications
  • Serve as technical practitioner in AI/ML and lead efforts across teams
  • Research innovative scientific approaches and bring them into client work
  • Mentor junior data scientists
  • Build reusable assets, tools, and processes to increase team velocity and impact

Requirements

What you’ll need
  • 5+ years of professional experience in data science, statistics, and applied machine learning, including 3+ years building models for business applications
  • PhD, or a Master’s degree with 4+ years of experience, in Computer Science, Computer Engineering, Machine Learning, Statistics, Mathematics, Engineering, or a related quantitative field
  • Deep proficiency in Python or R, with strong skills in libraries like scikit-learn and TensorFlow/PyTorch, and fluency in models, algorithms, and ontologies
  • Experience programming in Java, C++, or a related language
  • Proven track record in statistical modeling, time series forecasting, NLP, or optimization
  • Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing
  • Experience designing and analyzing controlled experiments, such as A/B testing and uplift modeling
  • Demonstrated success deploying models into production using APIs, pipelines, or ML frameworks
  • Hands-on experience with Databricks, AWS SageMaker, and Snowflake
  • Experience building and deploying Data Mesh architectures
  • AWS cloud certifications or ML specialty credentials are helpful extras
  • Palantir experience is a helpful extra

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Predictive ModelingPrescriptive ModelingStatistical TechniquesA/B TestingNLPTime Series ForecastingAlgorithmsData StructuresNumerical OptimizationData Mining
Soft Skills
CollaborationMentoringCommunication
Tools & Technologies
PythonRScikit-learnTensorFlowPyTorchDatabricksAWS SageMakerSnowflakeAPIsML Frameworks
Certifications & Qualifications
AWS Cloud CertificationsML Specialty Credentials
Industry Keywords
Data ScienceData MeshOperational EfficiencyCustomer BehaviorCausal Inference