Top Data Science Jobs in Mexico City

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

As an Associate Technology Consultant in the Galaxy Graduate Program, you will assist in customer projects, learn the Celonis platform, and apply data science and machine learning techniques to optimize processes. The program emphasizes hands-on experience and customer engagement.

The Sr. Director of AI & Data Science leads AI initiatives across the business, driving innovation, strategic decisions, and responsible practices while managing a significant budget and team.

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

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

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

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.

As a Data Scientist, you will develop analytical solutions, engage stakeholders, and deploy machine learning applications, influencing business processes.

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

The Senior Actuarial Assistant analyzes data using actuarial techniques, collaborates on product strategies, and communicates insights to inform business decisions.

Lead the development of data science solutions and mentor a team. Drive innovative projects and prepare insights for stakeholders while managing enterprise-level data science initiatives.

As a Quant Researcher, you'll drive innovation in fixed income pricing, analyze market activity, enhance research models, and collaborate on data-driven solutions.

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 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.

The role involves measuring marketing campaign success, providing actionable insights, analyzing data sets, and optimizing marketing strategies through advanced analytics.

The role involves managing a team of data analysts, utilizing data for client campaigns, and overseeing predictive analytics projects to enhance marketing performance.

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

The Senior Manager, Data Science will lead a team to develop machine learning models and insights from large data sets, focusing on financial services.

Lead data science strategy and innovation, develop data models, collaborate with stakeholders, and manage a high-performing data science team to drive business objectives.

Lead data science strategy at Arrive Logistics, develop models, mentor team, collaborate across departments, and drive impactful data initiatives.

The Director of Data Engineering and Analytics will lead a team in developing analytics strategies, managing projects, and enhancing data processing capabilities for Chewy's Pharmacy Operations.

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

As a Cloud Engineering Data & Analytics Associate, you will engage in data analysis to drive insights for clients, utilizing advanced data analytics tools and techniques. Responsibilities include data manipulation, algorithm development, and delivering data-driven solutions to enhance business decision-making.

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.

Collaborate with teams to analyze data, extract insights, and present findings using analytics techniques in a fast-paced environment.