Top Data Science Jobs in Mexico City

This is a one-year Graduate Programme designed for aspiring data practitioners and software engineers with no prior work experience. Participants will gain skills and hands-on experience in various tech tools and technologies, preparing them for a successful career in the tech industry.

The Data Science Manager at Garner will develop care navigation algorithms and analytics, while leading a team of 4-6 data scientists and analysts. Responsibilities include managing projects within the Data Science Guild and contributing to the healthcare mission by driving data-driven insights.

As a Senior Associate in AI & GenAI Data Science at PwC, you will leverage advanced analytics techniques to extract insights from large datasets, collaborate with clients to solve complex business problems, and develop AI solutions. Responsibilities include model development, data processing, and managing client relationships while guiding the data analytics team.

As a Senior Associate in AI & GenAI Data Science at PwC, you will leverage advanced analytics techniques to drive insights from large datasets, develop AI solutions, and collaborate with clients on their business challenges. Your responsibilities will include building analytical models, document business processes for AI opportunities, and managing data interpretation to inform decisions.

As Sr. Director of Data, Analytics, and AI at NinjaTrader, you will lead efforts in data infrastructure, data science, business intelligence, machine learning, and AI. Your role involves managing a team, executing the technical roadmap, ensuring data governance, and fostering collaborations across departments to support data-driven decision-making and enhance user experience.

Empower seeks an experienced analytics leader to oversee Credit and Data Science functions for international markets in Latin America and South East Asia. The role includes developing risk models, launching innovative products, and understanding consumer behaviors to drive business growth and improve customer financial well-being.

As an AI Tutor, you'll teach and evaluate AI models on data science principles, including statistical modeling, machine learning, and data visualization. You'll provide feedback to enhance AI understanding and conduct tests to identify model vulnerabilities and biases.

Seeking a translational multiomics Sr. Scientist/Principal Scientist with expertise in developing and applying computational skills to understand complex biological systems and their relationship to clinical state changes. Responsibilities include applying bioinformatics, computational biology, and machine learning tools to generate insights from high-dimensional molecular datasets.

Lead initiatives for Walmart's omnichannel supply chain strategies, manage projects from start to finish, analyze data and modeling, optimize supply chain processes, and implement metrics for transformation.

As the Manager of Data Strategy and Insights, you will create measurement platforms to inform marketing successes and identify insights for client investment decisions. You will lead the development of analytical business rules and support sales teams with various analytics solutions based on extensive data analysis, ensuring the creation of statistically valid campaigns with actionable recommendations.

As a Staff Data Scientist at Walmart, you will lead data science initiatives, focusing on developing and deploying machine learning models at scale while utilizing causal inference to inform strategic planning. You'll work with a team embedded in business operations to enhance customer understanding and decision-making based on data-driven insights.

The Senior Manager, Data Science will lead initiatives for Walmart's omnichannel supply chain, managing projects from inception to execution. Responsibilities include building supply chain models, statistical analysis, and optimizing strategies for customer experience and operational efficiency. The role involves cross-functional collaboration for quick wins and continuous improvement, as well as creating metrics and dashboards for transformation.

In this role, a PhD Data Scientist will develop advanced analytics solutions focusing on demand forecasting, scenario planning, risk management, and financial forecasting. This position requires collaboration across departments to optimize supply, cost, and pricing strategies for improved business outcomes.

The AI Solution Manager oversees customer engagement and leads product and business development efforts in the AI/ML sector within the Central and South American markets. This involves collaborating with partners to identify problems solvable through ML, leading cross-functional teams to develop AI solutions, and facilitating communication between technical and business teams.

The AI Solution Manager role focuses on collaborating with Fortune 500 customers to identify and financialize use cases for AI solutions, leading cross-functional teams in developing machine learning applications, and partnering with sales to expand accounts. Requires excellent business acumen and consulting skills.

Collect and analyze complex datasets, turn data into actionable insights, use statistical techniques to find trends, improve efficiency, develop processes and tools to monitor data, deliver scalable insights, collaborate with teams, stay up-to-date on technologies, and build new skills in data engineering.

The Sector Analyst, Energy will provide industry insights and business fundamentals to support data scientists and engineers in their research. Responsibilities include developing expertise in key themes of the energy industry, composing research reports, collaborating with teams, and helping investment professionals make informed decisions.