Marriott Vacations Worldwide is seeking for a Data Scientist to join our Global Data & Analytics (D&A;) team and help develop our advanced analytics capabilities. In this role, you will support the articulation, design, development, and implementation of analytical solutions to solve complex business problems and enable data-driven decision making to optimize our business operations, enhance customer experiences, and contribute to the company’s growth.
The Data Scientist will need to work and collaborate cross-functionally with business partners, other D&A; pillars, and IT on the different stages of these analytical solutions. The Data Scientist is expected to support all facets of Data Science initiatives including: business requirements gathering, understanding data architecture landscape, data wrangling & transformation, modeling, testing, deployment, analysis and visualization, and communication to stakeholders and business partners.
Location: Fully remote; occasional business travel to MVW offices (e.g. US, Mexico, Costa Rica, others)
Generic Expected Contributions
Option 3
- Develops operating plans and workable business processes for own department in alignment with function strategy.
- Manages larger business processes and/or projects, setting priorities and measurable objectives, monitoring, and reporting on the process, progress and results.
- Responds to, solves and makes decisions on business requests that have broader department impact and/or moderate risk. Presents alternative solutions to business issues by leveraging the broader organization.
- Responsible for own work and contributing to team, department and/or business results. May direct work of non-management staff. Typically influences work of cross-functional or extended teams.
- Assists more senior associates in achieving business results by:




 acting in a consultative fashion to implement programs impacting the broader organization.
 assisting in the development and communication of broader organizational goals.
 achieving results against budget within scope of responsibility.
 taking calculated risks to move the department or team forward.
 developing and using systems to organize and keep track of information.
 balancing the interests of own group with the interests of the organization.
 working with others to identify and remove barriers to success.
- Readily critiques own behavior to acknowledge mistakes and improve future leadership performance and acts independently to improve and increase skills and knowledge.
- Performs other duties as appropriate.
Specific Expected Contributions (including duties and responsibilities)
- Understand business problems and translate requirements into analytical frameworks. This includes supporting the definition of project objectives, scope, and success criteria in collaboration with business partners
- Explore data sources to help identify and understand key data required for modeling. Develop and maintain scripts to implement data extraction, data wrangling, data cleaning, and feature creation to build robust and automated datasets for modeling and analysis
- Run Exploratory Data Analysis (EDA) to identify data trends, relationships, and anomalies




- Help identify the appropriate models that solve specific business problems. Support with the development, testing, and deployment of such models
- Provide business partners with clear and concise recommendations based on findings and insights obtained from model results
- Develop dashboards and reports to communicate effectively results and insights to stakeholders
- Communicate complex technical concepts and findings in a clear and understandable manner to non-technical stakeholders
- Bachelor’s or Master’s degree in Statistics, Mathematics, Actuarial Sciences, Physics, Economics, Operations Research, or a related field
- Strong analytical and problem-solving skills with a proven ability to tackle complex challenges
- Solid understanding of statistical techniques, machine learning algorithms, and predictive modeling methods
- Proficiency in programming languages such as Python or R for algorithm development and implementation
- Experience working with large datasets leveraging SQL or other query languages for data wrangling and transformation
- Experience with reporting and data visualization tools (e.g. Power BI, Tableau)
- Excellent communication skills, both written and verbal, to effectively convey technical information to non-technical stakeholders
- Ability to work collaboratively in cross-functional teams and adapt to changing project requirements
- Upper-Intermediate / Advanced level of English (B2/C1). You will be expected to have in-depth verbal and written discussions with English speakers on a daily basis
- Preferred experience working with Agile methodologies
Tipo de puesto: Jornada completa, Por tiempo indeterminado
Sueldo: $38,000.00 - $40,000.00 al mes
Horario:
- Turno de 8 horas
Prestaciones:

📌 Data Scientist - Bilingual (México)
🏢 MVW
📍 México