Top Data Science Jobs in Mexico

Lead the Retail Fraud Strategy and Analytics team at Capital One, managing analytics and strategy to combat fraud while driving business growth. Engage in product development, marketing, and credit risk analysis while mentoring analysts and collaborating across departments.

The Data Governance Solutions Architect will design and implement data governance strategies, ensuring compliance, enhancing data quality, and defining standards for data management while collaborating with various teams and stakeholders.

The Data Owner Lead manages data quality, integrity, and governance, driving data solutions aligned with business objectives and fostering a data-driven culture.

The Director of Data Science & Analytics will manage a team, drive analytics vision, enhance product outcomes, and partner with executives.

The Marketing Analyst will measure media investments, optimize marketing performance, support decision-making, and develop actionable insights through analysis and reporting.

The role involves time-series forecasting, data analysis, enhancing forecasting processes, and consulting with stakeholders to optimize resource planning.

The Director of Analytics will drive data-driven decisions at Rula by generating insights and recommendations, leading a team of data scientists, and connecting analytics to business strategy.

This internship offers hands-on experience in data analytics, focusing on advanced analytics and data modeling within various business units at CNA, including mentorship and potential full-time opportunities.

Lead Upstart's Auto Analytics team, managing analytics for Auto Refinance and Retail Lending, enhancing decision-making and growth strategies through data insights.

The Home Lending Portfolio Owner leads data strategy, governance, and integration, enhancing product delivery and analytics to achieve strategic objectives and protect data quality.

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

The TECH Program Associate will gain experience in data science and engineering across multiple teams, completing projects and presenting results. Responsibilities include coding, collaborating on data products, and analyzing requirements.

Interns will contribute to data projects using Python, big data tools, and statistical models while gaining professional experience and development opportunities.

Lead the Product Analytics & Data Science team, focusing on mentorship, stakeholder management, and executing data projects to drive insights and value.

The Associate Director leads data management and portfolio analytics initiatives, transforming data into insights for better business decisions and patient outcomes, while managing a team and driving innovation.

The Manager of Data Science leads efforts in fraud prevention, leveraging machine learning and data analysis while collaborating with cross-functional teams to implement effective strategies.

Lead the strategy and development of AI-driven autonomous shopping experiences, leveraging agentic AI for optimizing e-commerce. Collaborate cross-functionally to enhance user experience and drive business growth.

The role involves enhancing Visa's Responsible Data Use program, analyzing AI and data use cases, and ensuring compliance with data policies while fostering cross-functional collaboration and training initiatives.

As a Data Science Intern, you will collaborate with team members to build models, analyze data, and assist in productionalizing ideas while gaining insights into the logistics industry.

Lead data partnerships by executing data acquisition strategies, negotiating agreements, and evaluating data quality in clinical and observational studies.

Lead the development of GenAI solutions, manage client engagements, build a team of consultants, and contribute to practice development in Generative AI.

As a Senior Data Scientist, you'll optimize matchmaking algorithms, define performance metrics, and collaborate on system efficiency improvements, focusing on large-scale user connections.

As a Senior Data Scientist for Sports Modeling, you will develop and implement statistical and machine learning models, work with data assets, and ensure integration into applications while collaborating with teams across the organization.

Develop advanced algorithms, apply statistical techniques, support clients with data analysis, contribute to emerging datasets, mentor junior associates, and advance thought leadership through research.

Interact with scientists to assess technical needs, provide patent and competitor information, and train individuals on technical resources while managing corporate information subscriptions.