Top Data Science Jobs in Mexico City

As the Senior Principal Data Annotation Team Lead, you will oversee data annotation processes for autonomous vehicle systems, leading internal teams and external vendors, ensuring high-quality standards and operational efficiency. You will implement quality assurance measures, forecast annotation requirements, and optimize collaboration to support data integration into development pipelines.

The Senior Data Consultant provides management consulting support to the USACE Headquarters Hydropower Program, focusing on implementing business processes and policies. Key responsibilities include program management, data analytics, and expertise in electric utility operations and hydropower generation.

The Senior Data Consultant for the Hydropower Program will provide management consulting and technical expertise to support the implementation of business processes and the strategic plan. Responsibilities include contract execution, managing day-to-day operations, ensuring compliance with requirements, and acting as a primary contact for tasks related to Hydropower and data analytics in the electricity generation sector.

In this position, you will support data analytics for the MyNavy HR enterprise, focusing on maintaining OLAP tools, developing data frameworks for analysis, and ensuring data governance. Responsibilities include designing data models, performing statistical analyses, and implementing data security standards to support decision-making processes.

The Data Analyst will provide analytical support to the Navy's CIO, focusing on data modeling, extraction, transformation, and building reports and dashboards. Responsibilities include utilizing OLAP tools, conducting statistical analyses, data governance, and implementing data security measures.

The Data Analytics Project Manager manages a team of data analytics professionals, overseeing data management, governance, and analysis for the MyNavy HR enterprise. Responsibilities include hiring decisions, reviewing data practices, ensuring data security, and developing data integration solutions.

As a Senior Analyst in Credit Risk Management, you will analyze data to improve credit strategies and policies, develop predictive models, and present actionable insights. You'll work collaboratively with other analysts and stakeholders to enhance risk management and decision-making processes.

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.