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Open nowPosted 13 hours ago

Data Scientist

WIZELINE37 open roles

Where
Colombia
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Your applicationOpen nowData ScientistWIZELINE · Colombia
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The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. WIZELINE postings stay open a median of 33 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.8%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.2%30 days
This job: posted 13 hours ago

WIZELINE median: 33 days open

The posting

Data Scientist

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.

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