Top Data Science Jobs in Mexico

The Sr Director leads the development, strategy, and commercialization of Credit Risk Solutions in Mexico, overseeing product innovation and managing cross-functional teams.

Design and implement Industry 4.0 solutions to innovate and optimize company processes, ensuring compliance with SOX audits. Requires technical knowledge in automation, PLC programming, and emerging technologies.

As an Agentic AI Solutions Architect, you will lead client engagements using LLMs and agentic workflows, designing data architectures and implementing AI solutions for operational transformation.

The Senior/Head Talent Acquisition Manager drives recruitment for internal teams and builds external teaching communities, focusing on culture-fit and tech expertise.

Lead and develop a strategic consulting practice, providing data-driven insights to improve fleet performance, manage teams, and ensure high-quality client engagement.

Manage end-to-end technical recruiting for AI and software roles across LATAM, ensuring clear communication with U.S. hiring managers and supporting team growth in the Mexican market.

As a Developer Relations Manager, you will build partnerships, advise on AI solutions, optimize partner strategies, and represent partners' technical needs to NVIDIA.

The Senior Public Relations Manager will lead global PR strategy, manage media relations, develop storytelling, and handle reputation management for PayJoy.

As part of the data science team, you will analyze insurance data, create mathematical models, and optimize algorithms based on client feedback.

As a Manager of Data Science, you will analyze data, create models, communicate insights, and develop data-driven solutions to enhance business decision-making.

The Promoter Agencies Manager will oversee field marketing agencies to drive customer engagement and sales through a national demand generation strategy. Responsibilities include managing agency relationships, analyzing marketing metrics, and coordinating marketing initiatives.

The Manager, Demand Planning leads a team to improve forecast accuracy, working collaboratively with various departments and utilizing data science.

The Senior Tools & Metrics Manager will develop and maintain the tooling ecosystem for Operations, ensure effective data management, and collaborate with technical teams to enhance reporting and workflows.

The Partner Success Operations Analyst ensures efficient merchant operations through process optimization, portfolio management, and communication with partners, while also providing insights for continuous improvement and risk management.

Lead and optimize PayJoy's global fraud operations, managing a team to prevent fraud across consumer and SME products while driving strategic initiatives and operational improvements.

The Director of Product at Tala will oversee product strategy for embedded lending partnerships and lead the design and execution of credit products, ensuring robust integration and performance optimization across various markets.

The Solutions Architect leads technical strategy for accounts, promoting data-driven transformation and adoption of Databricks' products while mentoring team members and engaging with clients.

The Account Executive will develop and close business opportunities, achieve sales quotas, and collaborate with cross-functional teams within the enterprise market.

The Clinical Data Science Lead manages clinical data review activities, negotiates timelines, forecasts budgets, and oversees data science activities for studies, ensuring data delivery and quality.

The Clinical Data Science Programmer will develop SAS code for data conversion and validation, support the Clinical Data Management System, and ensure compliance with industry standards.

As a Data Science Intern, you will assist in creating data summaries, automating processes, and collaborating with the Data Science team while applying statistical analysis.

As a Staff Engineer in Data Science, you will leverage your coding skills to tackle client challenges, guide teammates, and enhance solutions for greater success.

The Staff Engineer, Data Science role focuses on leveraging tech skills to enhance team capabilities and provide advanced solutions for client challenges.

The Lead Data Scientist will design, develop, and deploy Machine Learning models, collaborate with teams to integrate solutions, and implement MLOps practices while providing mentorship and communicating findings effectively.

As a Senior Clinical Data Science Lead, you will oversee clinical data activities, ensure data quality, manage budgets, and participate in audits. You will lead data review efforts and communicate effectively with stakeholders, ensuring deliverables meet timelines and quality standards.