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Top Data Science Jobs in Mexico City
The Data Scientist III (ML Engineering) will focus on building machine learning solutions to enhance Cedar’s healthcare payment platform. Responsibilities include conducting deep data analyses, developing and optimizing ML-powered features, building and optimizing data pipelines, and measuring model performance for continuous improvement.
The Senior Credit Manager / Senior Staff Data Scientist will analyze and evaluate data to develop and propose credit risk strategies and models for various lending products, with a focus on Personal Loans. Responsibilities include implementing underwriting strategies, monitoring portfolio risk trends, and collaborating with cross-functional teams to drive revenue and control risk.
The Head of Bioinformatics and Data Science will lead the data science team to develop genomic clinical tests, drive innovation in data analytics, collaborate with cross-functional teams, and ensure compliance with industry standards. This role includes strategic direction, team management, and participation in R&D growth.
Lead the development of innovative ML-based enterprise products, architect AI-enabled data products, and solve complex cross-functional problems. Engage with senior clients, manage hybrid teams, and shape firm strategy in AI. Foster talent and publish thought leadership.
Lead the development of innovative ML-based products, architect AI data solutions, research advanced algorithms, and engage with senior clients to deliver transformative solutions. Oversee hybrid teams in the creation of AI applications and contribute to ZS's talent development and firm strategy.
The Director of Data Science (Revenue Analytics) will lead the Revenue Analytics team to analyze and drive data-driven decisions to grow revenue. This involves building and owning reports, providing insights, and guiding cross-functional initiatives. The role requires strong critical thinking skills and the ability to communicate effectively with stakeholders.
The Manager of Data Science will harness data science and analytical insights to support brand strategies for the US Commercial team. Responsibilities include developing machine learning models, interfacing with stakeholders, enhancing brand and sales understanding, and driving execution strategies.
Join as Vice President of Quantitative Strategic Assessment for the Home Lending Optimization Group, collaborating with Decision Science, Marketing, and Technology to enhance the performance of the Home Lending division through data analysis, tools development, and strategic initiatives.
Featured Jobs
The Associate Director of Medical Data Strategy and Analytics leads the strategic planning and execution of data analytics initiatives within US Medical Affairs, focusing on developing data visualization tools, creating measurement frameworks, and enhancing analytics capabilities to improve decision-making and operational efficiencies.
As a Senior Data Scientist at Udemy, you will collaborate with cross-functional teams to enhance skill assessment platforms, develop data pipelines, and psychometric models. You'll work on defining metrics, building dashboards, and implementing innovative solutions in educational assessment. The role requires strong analytical skills and familiarity with measurement models.
The Vice President of Data Science Research will lead the research organization focusing on innovative quantitative methods for liquid biopsy cancer screening, drive the research roadmap, and transition new concepts into product development while maintaining reproducible research standards.
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.
The Associate Marketing Data Scientist at The Walt Disney Studios will support the Marketing Science team by engaging in areas such as media measurement, forecasting, and optimization. Responsibilities include troubleshooting media measurement issues, consulting with stakeholders, conducting A/B tests, and utilizing economic principles to evaluate marketing effectiveness.
The Senior Manager, Data Science for Emerging ML focuses on leveraging machine learning and data science to enhance customer experiences at Capital One. Responsibilities include building machine learning models, refining integration patterns, and partnering with engineering and business teams to conduct experiments for marketing, servicing, and fraud prevention enhancements.
As a Manager of Data Science, you will lead cross-functional teams to develop AI and ML solutions, focusing on personalized customer experiences. You will leverage advanced technologies and statistical modeling methods to analyze vast datasets, build machine learning models, and translate complex data insights into actionable business strategies.
As a Manager in Data Science at Capital One, you will lead the Recommendation & Personalization team to build scalable AI/ML solutions. Your responsibilities include partnering with cross-functional teams, developing machine learning models, and leveraging a diverse tech stack to extract insights from data while focusing on customer experience and innovation.
As a Manager of Data Science, you will lead a cross-functional team to create AI/ML solutions, build machine learning models, and translate complex data insights into business goals, all while ensuring customer-centric innovations.
As a Data Science Lead Vice President, you will mentor a team in applying advanced machine learning techniques to mitigate fraud across multiple payment channels. Your role involves driving analytics projects, enhancing customer experience, and presenting insights to stakeholders. You will lead research, implementation, and evaluation of analytical tools while fostering innovative thinking within your team.
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.
The Data Scientist will support vertical data science teams in experiment design and analytics, collaborate on innovative solutions to measure ecosystem health and business performance, and drive data-informed decision-making for Roblox's learning platform and ecosystem.
The Data Science Lead will enhance the investment process in asset management using NLP and machine learning. Responsibilities include collaborating with stakeholders, developing advanced ML solutions, curating datasets, monitoring model performance, and presenting results.
As a Principal Associate in Data Science at Capital One, you will develop machine learning models to enhance underwriting processes in credit card acquisition and management. You will collaborate with cross-functional teams, leveraging technologies like Python and AWS to analyze data and deliver innovative solutions.
As a Senior Manager in Data Science, you will lead a team of data scientists and machine learning engineers to create and implement AI models and applications that support Walmart's finance department. Responsibilities include model development, managing a team, and collaborating on cross-functional projects to leverage Walmart's extensive data.
As Sr. Director of Analytics, you will lead analytics initiatives to maximize the effectiveness of clients' media and digital investments. Responsibilities include developing analytics strategies, overseeing performance measurement, and generating actionable insights to enhance user experiences.
As Sr. Director of Analytics at MERGE, you will lead analytics initiatives to enhance client media and digital investments. You'll guide a team in implementing analytics frameworks, measuring performance, and providing data-driven insights to improve user experiences. Your expertise in data science and marketing communications will drive growth and optimize performance metrics.
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