Top Data Science Jobs in Mexico

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.

The Director of Product Management at Capital One drives innovative customer experiences through technology, focusing on product strategy, agility, and leadership. Responsibilities include defining product vision, fostering team collaboration, and leveraging technology to solve customer needs.

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.

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 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.

Manage tech infrastructure for global support operations, optimize tool usage, oversee QA and training teams, and track performance metrics.

Lead the analysis and management of clinical data, ensuring quality and integrity while overseeing data science initiatives in clinical trials.

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 Senior Analytics Engineer at PayJoy will bridge the gap between data and product decisions, enhancing analytics maturity in product areas. Responsibilities include building data products, defining analytical strategies, and conducting complex analyses while collaborating with cross-functional teams.

The Risk Manager analyzes risk portfolios using data, offers actionable recommendations, collaborates with Data Science on ML and AI models, and monitors KPIs.

The Senior Manager Business Development leads strategic retail partnerships, manages a junior BD team, drives cross-functional project management, maintains financial models, negotiates terms, and oversees partner relationships post-launch.

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 Growth Manager drives growth and adoption of credit products, coordinating between global teams and local operations, managing partnerships, and executing GTM strategies.

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

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

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

Lead analytics and data science for underwriting transformation, focusing on forecasting, insights, and metrics for pricing and risk management.

The Market Expansion Manager oversees motorcycle financing initiatives, focusing on lead generation, collections, GPS installation, and risk management. The role involves collaborating across teams, analyzing performance, and implementing strategies to improve growth and reduce risk.

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.

Lead development, validation, and maintenance of programming solutions for EDC/CDMS (Rave, Veeva), analytics outputs, custom reports, and vendor data. Serve as primary programming contact during study setup and maintenance, mentor junior programmers, support knowledge sharing, and improve technical systems and processes.

The Data Science Senior Manager oversees teams, manages data science programs, contributes to budget and policy formulation, and ensures strategic alignment across the organization while delivering results and developing staff.

The Data Science Analyst 2 role involves analyzing data to optimize processes, consulting with clients to define specifications, and ensuring quality in project delivery.