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Data Scientist Job Opening In Bogotá – Now Hiring Tambourine


Job description

Tambourine Bogota, D.C., Capital District, Colombia

Data Scientist

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.

What we need from you:

  • 3+ professional experience as Data Scientist
  • Full English proficiency .

  • Extensive experience with advanced machine learning techniques , such as NLP, deep learning, or 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, with the ability to balance technical complexity with business needs and timelines.

Responsibilities

Advanced Modeling & Strategic Analysis:

  • 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 hands-on deployment, monitoring, and maintenance in a production environment using Google Cloud Platform (GCP) and tools like Vertex AI .

  • Architect and implement robust data processing workflows for massive datasets, utilizing advanced skills in BigQuery and tools like PySpark when necessary.

Leadership & Stakeholder Management:

  • 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.

Not required, but 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.

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Required Skill Profession

Bases De Datos, Analítica Y Bi


  • Job Details

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Unlock Your Data Scientist Potential: Insight & Career Growth Guide


Real-time Data Scientist Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Scientist in Bogotá, Colombia, highlighting market share and opportunities for professionals in Data Scientist roles.

18255 Jobs in Colombia
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920 Jobs in Bogotá
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Are You Looking for Data Scientist Job?

Great news! is currently hiring and seeking a Data Scientist to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Tambourine adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Colombia laws and regulations

What Is the Average Salary Range for Data Scientist Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Bogotá. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Data Scientist?

Key qualifications for Data Scientist typically include Bases De Datos, Analítica Y Bi and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Data Scientist Job Success

Tambourine interview tips for Data Scientist

Here are some tips to help you prepare for and ace your Data Scientist job interview:

Before the Interview:

Research: Learn about the Tambourine's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

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Final Thought:

To prepare for your Data Scientist interview at Tambourine, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Tambourine's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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