Data Scientist

Tambourine; Bogotá; Presencial; COP 191.695.740 - 268.374.036; Jornada completa

Descripción de la vacante

A leading hospitality marketing firm is seeking a bilingual Data Scientist to drive data science projects in Bogotá. This role involves using advanced machine learning techniques to solve complex business problems, mentoring junior team members, and working closely with executives to create strategic data-driven insights. Ideal candidates will have experience with MLOps, big data processing skills, and the ability to navigate both technical challenges and business needs. Competitive full-time position with ample growth opportunities.

Formación

• 3+ years of professional experience as a Data Scientist.
• Full English proficiency is required.
• Extensive experience with advanced machine learning techniques (NLP, deep learning).
• Hands-on experience with MLOps, deploying ML models in production.
• Proven ability to lead data science projects independently.

Responsabilidades

• Develop and implement advanced machine learning techniques for data analysis.
• Lead R&D efforts exploring new data sources for competitive advantage.
• Design and analyze A/B tests to measure marketing effectiveness.
• Own the lifecycle of machine learning models on GCP.
• Mentor junior data scientists and foster a culture of innovation.

Conocimientos

Advanced machine learning techniques

MLOps

Stakeholder management

Python

BigQuery

Deep Learning

NLP

Educación

Master's degree or Ph.D. in a quantitative field

Herramientas

GCP/Vertex AI

PySpark

Descripción del empleo

Data Scientist

Location: Tambourine, Bogotá, D.C., Capital District, Colombia

Tambourine is one of the fastest-growing hospitality & tourism marketing firms. Combining best-in-class tech with creative design, we 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 who tackles our most challenging business problems with sophisticated machine learning and statistical techniques. This role involves leading data science projects from ideation to production, mentoring junior team members, and acting as a trusted advisor to business stakeholders. The ideal candidate combines deep technical expertise in advanced ML and MLOps with a pragmatic, business-oriented mindset to deliver high-impact models that shape company strategy.

Qualifications

• 3+ years of professional experience as a Data Scientist
• Full English proficiency
• Extensive experience with advanced machine learning techniques (NLP, deep learning, complex time-series analysis)
• Expertise in designing, running, and analyzing A/B tests and a strong understanding of causal inference methods
• Hands‑on experience with MLOps, including deploying and maintaining ML models in a production environment (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
• A passion for mentoring junior team members
• Excellent stakeholder management skills, with the ability to act as a strategic advisor to the business
• A pragmatic approach to problem‑solving, balancing technical complexity with business needs and timelines

Responsibilities

• Develop and implement advanced machine learning techniques—such as NLP to analyze guest reviews, deep learning for recommendation engines, or sophisticated time-series analysis for demand forecasting.
• Devise novel strategies for leveraging complex datasets, such as GA4 behavioral data, to create predictive features for advanced personalization and dynamic pricing models.
• Lead research and development efforts to explore and validate new data sources and modeling approaches that can create a competitive advantage.
• Serve as the subject‑matter expert for experimentation, designing and analyzing complex A/B tests to rigorously measure the business impact of pricing strategies, marketing campaigns, and new product features.
• Employ causal inference methodologies to understand the true drivers of business outcomes in situations where traditional A/B testing is not feasible.
• Own the end‑to‑end lifecycle of machine learning models, including deployment, monitoring, and maintenance in a production environment using Google Cloud Platform and Vertex AI.
• Architect and implement robust data processing workflows for massive datasets, utilizing advanced skills in BigQuery and tools like PySpark when necessary.
• Lead cross‑functional data science projects from initial conception and requirements gathering through to final deployment and impact measurement, managing timelines and deliverables.
• Mentor junior data scientists, providing technical guidance, conducting constructive code reviews, and fostering a culture of innovation and continuous learning.
• Build strong relationships with business leaders, acting as a trusted advisor who proactively identifies and scopes opportunities where data science can create significant value.

Nice to have

• A master’s degree or Ph.D. in a quantitative field (e.g., statistics, computer science, economics)
• Experience with reinforcement learning or other cutting‑edge ML domains
• Publications in peer‑reviewed journals or presentations at major data science conferences
• Experience building and scaling a data science function or team

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering, Analyst, and Information Technology

Industries

Hospitality, Technology, Information and Media, and Marketing Services

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