Postúlate en Kit Empleo: kitempleo.com.co/empleo/1amxkk

CuddlyNest is a global travel booking platform offering stays, flights, and attractions worldwide, built using leading AI and ML technology. We’re on a mission to create a smarter, more intuitive, and inspiring way for people to discover and book travel.

Role Overview

We are seeking a Data Scientist with direct experience in travel technology to develop predictive models and data‑driven insights that optimize pricing, personalization, and marketplace performance.

Key Responsibilities

- Build statistical and machine learning models for demand forecasting, pricing, and recommendation systems.
- Analyze booking patterns, search behavior, and customer engagement data.
- Develop customer segmentation and personalization strategies.
- Create dashboards and KPIs to support business decision‑making.
- Partner with product, engineering, and growth teams.
- Design and evaluate A/B tests and experimentation frameworks.
- Improve fraud detection and operational efficiency models.

Requirements

- 4+ years of experience in data science.




- Proven experience in travel tech, OTAs, hospitality, or online marketplaces.
- Strong knowledge of Python, SQL, and machine learning frameworks.
- Experience with predictive modeling, experimentation, and statistical analysis.
- Familiarity with cloud platforms such as AWS, GCP, or Azure.
- Excellent communication skills and business acumen.
- Fluent in English.

Preferred Qualifications

- Experience with recommendation engines and pricing algorithms.
- Knowledge of booking, inventory, and customer behavior data.
- Advanced degree in Data Science, Statistics, Computer Science, or related field.

Benefits

- Work remotely with a integral team.
- Be at the forefront of AI‑driven tech.
- Competitive compensation based on location and experience.
- Direct impact on global travel growth.
- Fast‑paced, international work environment.

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Postúlate en Kit Empleo: kitempleo.com.co/empleo/1amxkk

📌 Data Scientist (Bogotá)
🏢 CuddlyNest
📍 Bogotá