Data Scientist

Wizeline; Colombia; On-site; COP 128,271,000 - 224,474,000; 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 and translate analytics into business impact.

You will own predictive modeling, collaborate with cross-functional teams, and leverage Spark/Databricks for scalable data processing. Strong communication with diverse stakeholders is essential.

Qualifications

• 4+ years of experience in data science, analytics, or applied ML.
• Advanced English required for presenting ideas to global stakeholders.
• Proficiency in Python and SQL, with experience in Spark/Databricks.

Responsibilities

• Own end-to-end development of predictive and forecasting models.
• Lead analyses including segmentation, clustering, churn prediction, and NLP.
• Collaborate with data engineers to optimize Spark pipelines and with MLOps for Azure Databricks deployment.
• Present insights with clear narratives and actionable steps.

Skills

4+ years exp

Advanced English

Python

SQL

Spark

Databricks

Linear regression

Clustering

A/B testing

MLflow

Storytelling

Consulting skills

Tools

Azure Databricks

Job description

We are: Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.

With the right people and the right ideas, there’s no limit to what we can achieve.

Are you a fit? Sounds awesome, right? Now, let’s make sure you’re a good fit for the role. As a Data Scientist, you will lead medium-complexity data science projects, build robust predictive models, and partner with cross-functional teams to translate analytical outputs into business impact.

Key Responsibilities

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

Must-have Skills

• Experience: 4+ years of experience in data science, analytics, or applied ML.
• Language: Advanced English level (Essential for presenting ideas clearly and consulting with diverse global stakeholders).
• Strong technical expertise in Python and SQL.
• Proven experience with Spark and Databricks for scalable data processing.
• Clear understanding of linear regression, clustering techniques, and experimentation methods (A/B testing, MLflow).
• Strong storytelling and consultative skills to effectively explain complex solutions, answer business questions, and "sell" data-driven ideas.

Nice-to-have

• AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows.
• Experience with deep learning, modern NLP stacks (Transformers, spaCy), or cloud ML services like Azure ML.
• Familiarity with CI/CD concepts or basic MLOps practices.

What We Offer

• A High-Impact Environment
• Commitment to Professional Development
• Flexible and Collaborative Culture
• Global Opportunities
• Vibrant Community
• Total Rewards *Specific benefits are determined by the employment type and location.

Find out more about our culture here.