Data Scientist

Toyota Financial Services México; Ciudad de México; Híbrido; MXN 500,000 - 700,000; Jornada completa

Descripción de la vacante

A prominent financial services company in Mexico City is looking for a Data Scientist to deliver data-driven solutions across the Americas and Oceania. The role involves collaborating with stakeholders to solve complex business problems, developing predictive models, and providing insights through data visualizations. Candidates should hold a Bachelor's degree in a quantitative field and possess strong analytical skills, with proficiency in both English and Spanish. This position offers a hybrid working model with occasional travel.

Formación

• 3+ years of experience with analytics and statistical analysis.
• Experience with model governance and validation.
• Proficient in data-driven decision-making.

Responsabilidades

• Partner with stakeholders for data-driven decisions.
• Build and validate predictive models.
• Translate insights into visualizations.

Conocimientos

Analytical thinking

Statistical modeling

Fluent in English

Fluent in Spanish

Proactive mindset

Educación

Bachelor’s degree in a quantitative field

Herramientas

Python

R

SQL

Tableau

Power BI

Dash

GitHub

Git

Descripción del empleo

About the Job

Help serve America and Oceania region’s countries with data driven solutions. Data Scientists at Toyota Financial Services provide quantitative support, international regulatory standards compliance, and strategic perspective to the countries in the AOR region. This team acts as an internal consulting unit focused on the development, monitoring, and validation of models with high business impact and exposure. As part of the Data Science team, you will make critical recommendations to the different stakeholders across the region.

Minimum qualifications:

• Bachelor’s degree in Economics, Statistics, Actuarial Science, Applied Mathematics, Data Science, Engineering, Physics, Finance, or a related quantitative field.
• 3+ years of work experience using analytics to solve product or business problems based on statistical analysis, statistical modeling, and coding (e.g. Python, R, SQL).
• Strong ability to communicate complex business problems and solutions in English and Spanish fluently to interact with regional and local stakeholders.
• Proactive mindset, international perspective, and openness to working on a hybrid model with occasional travel (<10%).
• Version control techniques knowledge (GitHub, Git).

Preferred qualifications:

• Master’s degree or Ph.D. in Statistics, Mathematics, Data Science, Engineering, Physics, Economics or a related quantitative field.
• Experience with statistical and quantitative modeling, forecasting, and machine learning techniques.
• Experience with analytics, data, and client focused solutions.
• Experience in Model Governance (e.g. model deployment, documentation)

Responsibilities

• Partnering with stakeholders to understand business challenges and deliver data-driven decisions.
• Build new processes, procedures, methods, tests, and components that support business needs.
• Developing or validating predictive models (IFRS9, acquisition scorecard, collections scorecards) using advanced statistical and machine learning techniques.
• Translating insights into recommendations through compelling data visualizations (e.g., Tableau, Power BI, Dash).
• Participating in project planning and mentoring junior analysts on best practices.
• Ensuring quality standards and documentation of modeling processes.
• Commitment to continuous learning and professional development by staying up-to-date with emerging tools, technologies, and methodologies.

Location: Mexico City (Hybrid model)