Tambourine is a fast-growing hospitality and tourism marketing firm that combines best-in-class technology with creative design to revolutionize e-commerce for hotels, resorts, and destinations.
We are looking for a Bilingual Data Scientist to join our Analytics team in Bogotá. The Senior Data Scientist is a strategic, hands-on leader responsible for solving complex business problems using advanced machine learning and statistical techniques. This role includes leading data science projects from ideation to production, mentoring junior team members, and advising business stakeholders. The ideal candidate combines deep technical expertise in ML and MLOps with a pragmatic, business-oriented mindset to deliver high-impact models that inform company strategy.
This is an on-site position at our Bogotá office.
Requirements:
* Bachelor’s degree.
* 3+ years of professional experience as a Data Scientist.
* Full English proficiency.
* Extensive experience with advanced machine learning techniques such as NLP, deep learning, and complex time-series analysis.
* Expertise in designing, running, and analyzing A/B tests with a strong understanding of causal inference methods.
* Hands-on experience with MLOps, deploying and maintaining ML models in production (preferably on GCP/Vertex AI).
* Advanced skills in large-scale data processing using BigQuery and familiarity with tools like PySpark.
* Proven ability to lead data science projects independently from ideation to production.
* Passion for mentoring junior team members.
* Excellent stakeholder management skills, acting as a strategic advisor to the business.
* Pragmatic problem-solving approach, balancing technical complexity with business needs and timelines.
Responsibilities:
Advanced Modeling & Strategic Analysis:
* Develop and implement advanced ML techniques, including NLP for guest reviews, deep learning for recommendation engines, and time-series analysis for demand forecasting.
* Create predictive features for personalization and dynamic pricing using complex datasets such as GA4 behavioral data.
* Lead research and development to explore new data sources and modeling approaches for competitive advantage.
Experimentation & Causal Inference:
* Design and analyze complex A/B tests to measure the business impact of pricing strategies, marketing campaigns, and new product features.
* Apply causal inference methods to identify true drivers of business outcomes when A/B testing is not feasible.
MLOps & Model Productionalization:
* Manage the full ML model lifecycle, including deployment, monitoring, and maintenance using GCP and Vertex AI.
* Implement robust data processing workflows for large datasets using BigQuery and PySpark.
Leadership & Stakeholder Management:
* Lead cross-functional data science projects from conception to deployment and impact measurement.
* Mentor junior data scientists, provide technical guidance, conduct code reviews, and foster continuous learning.
* Build strong relationships with business leaders and identify opportunities where data science can create value.
Nice to Have:
* Master’s degree or Ph.D. in Statistics, Computer Science, Economics, or related field.
* Experience with reinforcement learning or cutting-edge ML domains.
* Publications or presentations at data science conferences.
* Experience building and scaling a data science team.
