Top Data Science Jobs in Mexico City

The Principal Consultant will lead data-driven consulting projects in the Technology, Media, and Entertainment sector, develop analytics frameworks, manage client relationships, and provide high-end analytics solutions to enhance marketing effectiveness and business strategies.

The Manager, Business Analytics will lead the development of data science solutions, consult with clients, and mentor junior team members while analyzing large datasets to drive business insights.

Agap Technologies Inc. offers online Data Science training, providing real-time instruction, interview training, and support for OPT applications with a professional environment.

As a Data Scientist, you will build machine learning models and work with a cross-functional team to deliver impactful data-driven products.

The Manager, Data Science will lead a team to build machine learning models, leveraging various technologies to derive insights from large volumes of data while partnering across teams to achieve business goals.

Lead a cross-functional team to assess model risks, build machine learning models, and influence decision-making using advanced statistical techniques.

The Education Engineer will create educational content and curriculum for developers using LangChain tools, collaborating with engineering teams to enhance learning experiences in applied AI.

The Data Scientist will develop strategies to extract insights from large datasets, implement data analysis methods, and communicate findings to both technical and non-technical audiences, requiring advanced knowledge in various data and statistical methodologies.

The Data Scientist will develop strategies for data analysis, model implementation, and communicate findings effectively while ensuring compliance with security clearance requirements.

The Data Scientist will extract insights from large datasets, develop analytic models, and communicate findings to non-technical audiences for federal government projects.

The Data Scientist will develop and test models for lending criteria, conduct analyses using statistical tools, and communicate findings effectively.

The role involves partnering with portfolio managers to enhance research and decision-making using AI and quantitative analysis, developing predictive tools and conducting data-driven research across asset classes.

Analyze data to identify investment opportunities and support due diligence. Collaborate across teams to implement insights for investment decisions.

The Director of Attribution will leverage data science to analyze marketing effectiveness, manage teams, oversee data projects, and drive innovation.

This internship program offers hands-on experience in data analytics, engineering, and AI/ML, working on projects that impact business decisions and collaborating with data professionals.

Lead the development and governance of machine learning models for risk underwriting, manage a team, and optimize data strategies for consumer credit risk.

The Data Science Manager will lead a team, develop strategies for data and analytics, work with stakeholders, create models, and drive business improvements through data insights.

The Data Strategy & Analytics Lead drives data strategies across a therapeutic area, leading a team and ensuring effective integration of real-world and clinical data into decision-making processes.

Analyze complex data sets to identify trends, enhance data collection procedures, assist account managers, and improve current analytics and reporting.

The Director of Data Science will build and manage machine learning models, collaborate cross-functionally, and lead the ML strategy at Hungryroot.

As a Data Scientist, you will solve GM's challenges using AI and machine learning, developing models and delivering insights via UI applications.

The Director of Marketing Analytics leads efforts in measuring marketing effectiveness, providing data-driven insights, and collaborating with cross-functional teams to drive customer acquisition and retention strategies.

Research and propose solutions to science problems, collaborate with the engineering team on integrating solutions, and conduct internal science reviews.

As an AI Tutor, you will teach, evaluate, and red-team AI models in data science principles, focusing on statistical modeling, machine learning, and data ethics.

The Actuarial Leadership Development Program intern will gain exposure to actuarial assignments in various business lines, interact with management, and receive valuable on-the-job training.