Data Scientist | Latam

Data Scientist | Latam at Cuesta Partners in LATAM | Colombia.

Role Summary

• 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 analytics and 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.

Responsibilities

• 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.
• Flexible Work: Hybrid model with mostly remote work and one day per week in the office for team connection.
• Paid Time Off & Holidays: Generous leave to recharge and spend time with loved ones.

…and more! Additional perks and initiatives to make your experience at Cuesta Partners even better.

Requirements

• 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.

• Proficiency in Python, R, SQL, and data visualization tools (Tableau, Power BI,

etc.).

• 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.
• Excellent communication skills.