Data Scientist: Predictive Modeling & Global Impact

Wizeline; Colombia; On-site; COP 120,000,000 - 180,000,000; Full time

Benefits offered by this job

High-Impact Environment

Professional Development

Flexible and Collaborative Culture

Global Opportunities

Vibrant Community

Total Rewards

Job summary

Wizeline, a global AI-native technology solutions provider, seeks a Data Scientist to lead medium-complexity data science projects, build robust predictive models, and partner with cross-functional teams to translate analytical outputs into business impact.

You will own the end-to-end development of predictive and forecasting models, collaborate with Data Engineers to optimize Spark pipelines and with MLOps engineers for deployment on Azure Databricks, and present data-driven insights with clear

Qualifications

• 4+ years of experience in data science, analytics, or applied ML.
• Advanced English level (essential for presenting ideas clearly and consulting with global stakeholders).
• Strong Python and SQL proficiency.
• Proven experience with Spark and Databricks for scalable data processing.
• Solid understanding of linear regression, clustering techniques, and experimentation methods (A/B testing, MLflow).
• Clear storytelling and consultative skills to explain complex solutions and data-driven ideas.

Responsibilities

• Own the end-to-end development of predictive and forecasting models.
• Lead complex analyses including segmentation, clustering, churn prediction, and NLP.
• Collaborate with Data Engineers to optimize Spark pipelines and with MLOps for deployment on Azure Databricks.
• Standardize analytical templates and present data-driven insights to business partners with clear narratives and actionable steps.

Skills

Python

SQL

Spark

Databricks

A/B testing

MLflow

Storytelling

English communication

Tools

Azure Databricks

Job description

Wizeline, a global AI-native technology solutions provider, seeks a Data Scientist to lead medium-complexity data science projects, build robust predictive models, and partner with cross-functional teams to translate analytical outputs into business impact.

You will own the end-to-end development of predictive and forecasting models, collaborate with Data Engineers to optimize Spark pipelines and with MLOps engineers for deployment on Azure Databricks, and present data-driven insights with clear