Top Data Science Jobs in Mexico City

As a Data Science Consultant, you will partner with clients to understand their data needs, analyze large amounts of structured and unstructured data to discover trends, build predictive models, and communicate insights through various mediums. You will collaborate with multiple stakeholders and contribute to developing solutions tailored to clients’ requirements.

The Data Science Consultant will work alongside clients and internal teams to understand data needs, analyze large datasets, build predictive models and machine-learning algorithms, and effectively communicate insights through various mediums. Responsibilities include collaborating with stakeholders to propose solutions to business challenges and contributing to internal Data Science projects.

The Data Science Manager will lead data science projects focused on marketing analytics, applying data science techniques to solve complex marketing challenges such as customer segmentation and predictive modeling. Responsibilities include managing project delivery, driving business development, engaging with clients, supporting marketing efforts, and mentoring team members.

The Senior Data Science Consultant will collaborate with clients and internal teams to analyze data, build predictive models, and derive insights. Responsibilities include data acquisition, modeling, presenting findings, and contributing to internal projects while working with advanced analytics and machine learning techniques.

The Senior Data Scientist will focus on Pricing Optimization Analytics, conducting extensive data analysis to drive financial benefits and evaluate pricing strategies. This includes performing various analytics like causal inference and sensitivity analysis, aimed at improving decision-making within PayPal's monetization framework.

The Data Scientist 3 role involves analyzing key metrics, conducting data analysis, creating dashboards, and making business recommendations based on consumer product performance. The position requires collaboration with product leaders and engineering for metrics definition and data tracking solutions, while also mentoring junior team members in a dynamic environment.

The Senior Product Data Scientist will lead analyses of consumer and business trends, designing dashboards and conducting in-depth analyses to drive actionable insights for product and feature launches. The role involves collaboration across teams and continuous monitoring of product performance.

The Marketing Data Scientist will lead solutions for complex business challenges, providing actionable insights and business intelligence to support the Consumer Marketing organization. This role involves collaborating with marketing leadership and cross-functional teams to develop data-driven strategies and actionable recommendations.