Cuesta Partners is looking for a Data Scientist in Latin America who is interested in consulting and working with our broad base of clients on various engagements,
delivering advanced data-driven solutions using modern technologies and best practices while mentoring others.
As a Data Scientist at Cuesta, you will analyze complex datasets, extract meaningful insights, and build predictive models that support strategic decision-making. Your mission will be to leverage statistical techniques and machine learning models to drive business impact for our clients.
What We're Looking For:
- 3 -5 years of prior experience as a Data Scientist.
- Bachelor's or Master’s degree in Statistics, Mathematics, Data Science, or a related field.
- Experience developing predictive models, translating the output metrics to non-technical stakeholders
- Expertise in Python and SQL
- Experience with machine learning libraries such as TensorFlow, scikit-learn, or PyTorch.
- Strong knowledge of statistical analysis and data mining techniques.
- Experience working with cloud-based data platforms and AI projects.





What You'll Do:
- Stay updated with the latest trends in data science and AI.
- Collect, clean, and preprocess large datasets to extract valuable insights.
- Develop predictive models and machine learning algorithms for business use cases.
- Collaborate with stakeholders to translate business problems into data-driven solutions.
- Use statistical analysis to optimize business processes.
- Communicate findings through data visualization and storytelling.

Why You’ll Love Working With Us
- Comprehensive Health Plan: Prepaid health coverage for you and your immediate family.
- Team Engagement Activities: Fun and meaningful events to connect and grow together.
- Annual Performance Bonus: Recognition and reward for your hard work.
- Growth Opportunities: Career development and advancement within the company.
- Versátil Work: Hybrid model with mostly remote work and one day per week in the

📌 Data Scientist | Latam (Colombia)
🏢 Praxy
📍 Colombia