Top Data Science Jobs in Mexico City
The Director of Data Science at Snap Inc will lead the data science team, drive business outcomes through analytic strategies, manage complex datasets, and deliver insights on ad performance and customer engagement across products. This role involves collaborating with senior executives and ensuring high-performance analytics and model development.
The Director of Data Science and Machine Learning will lead the Machine Learning, Data Science, and Product Analytics teams, drive data-powered insights for product performance, and collaborate across departments to optimize business growth. Responsibilities include team leadership, defining strategic vision, fostering collaboration, and overseeing the development of ML and DS models.
Lead the Enablement team at Jellyfish, guiding data scientists and engineers in producing analytics, insights, and tools to inform product and business strategies. Deliver self-serve analytics capabilities, support executive reporting with bespoke analyses, and maintain analytics infrastructure while fostering a culture of data-driven decision-making.
The Head of International Credit and Data Science will lead the analytics team, developing risk models and credit policies to drive underwriting strategies and innovative product launches in Latin America and South East Asia. The role focuses on leveraging data to enhance business growth and improve customer financial health, while adapting solutions for diverse markets.
The Principal Data Scientist will lead analytical initiatives and provide strategic recommendations to solve business problems using advanced analytics, machine learning, and statistical methodologies. Responsibilities include collaborating with cross-functional teams, developing analytical frameworks, and delivering insights to leadership through presentations and reports.
The Senior Manager, Data Science will lead and grow a team of skilled data scientists, partner with senior leaders to identify business opportunities, and build KPIs. This role involves driving analytics strategy, managing roadmapping and sprint planning, and delivering high-quality analytic insights and data-driven solutions.
The Director of Data Science & Analytics will lead a team to drive strategic insights through data analytics in the Amazon marketplace. Responsibilities include leveraging technology for innovative solutions, optimizing reporting tools, conducting market research, fostering a data-driven culture, and ensuring compliance and data integrity. This role involves collaboration across multiple teams to identify new opportunities and improve business strategies.
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.
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The Data Science Analyst will work with management on analytical initiatives, developing reports and dashboards while identifying opportunities for business improvement using various analytical techniques. Responsibilities include customer segmentation, optimization, and predictive analytics to enhance strategies and performance.
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Senior Data Scientist role at Square focused on leveraging data science techniques to improve incremental revenue generation. Responsibilities include understanding data ecosystem, supporting revenue forecasting models, partnering with ML engineers, driving insights with analytics, and mentoring team members.
As a Data Science Associate Consultant, you will develop advanced algorithms, apply statistical techniques, analyze data trends, collaborate with clients, and mentor team members. Your role involves leveraging data to address business challenges and contribute to thought leadership through research.
Lead end-to-end development life cycle of innovative ML-based enterprise products, architect and implement AI-enabled data products, research and assess state-of-the-art AI algorithms, engage with senior client leaders, publish thought leadership pieces, foster ZS talent, shape firm strategy in newer areas and practices including AI.
Lead the development of innovative ML-based products, architect AI-enabled data products, lead research and design for new product lines, and engage with clients to deliver transformative solutions. Oversee development cycles and foster talent through recruitment and training.
As a Data Scientist Associate, you will collaborate with various teams to gather requirements and work on analytics related to Chase's branch and ATM distribution network. Responsibilities include developing algorithms for large geospatial datasets, implementing ML models, and documenting analytics processes to meet control obligations.
As an Associate Director of Data Science, you will develop and implement algorithms to solve complex supply chain issues, use machine learning and operations research, and collaborate with various supply chain functions to optimize operations. You will drive strategic planning initiatives and lead analytics teams for continual improvement in processes and metrics.
As Sr. Director of Analytics, you will lead analytics initiatives to improve clients' media and digital investments, implement frameworks, measure performance, and extract insights for enhanced user experiences. You will manage a team and align service offerings with market trends.
As a Principal Machine Learning Engineer, you will lead the development of prediction or optimization engines for advertising platforms, driving innovation through AI and machine learning. Responsibilities include designing ad algorithm architecture, developing scalable data analysis methods, and collaborating with cross-functional teams.
The Lead Data Scientist will drive innovation in advertising by applying data science and statistical analysis. Responsibilities include developing models, defining key metrics, delivering insights, analyzing A/B tests, and mentoring team members within a collaborative environment.
The Senior Data Science Analyst is responsible for managing and enhancing credit risk oversight processes, evaluating consumer credit risks, managing a team, and developing reports on credit risk appetite. The role involves collaborating with teams to mitigate risks and presenting analytical findings to management.
As a Data Science Associate Consultant, you'll develop advanced algorithms, apply statistical techniques, and analyze data trends. You'll collaborate with clients, contribute to technology assessments, and mentor junior team members, driving impactful solutions and fostering innovation.
The Associate Director of Data Science at Chewy will oversee the development and implementation of models for solving complex supply chain problems, using machine learning and operations research. This role involves deep diving into supply chain data to derive insights and collaborating with various supply chain functional areas for optimization. The candidate will also manage science teams and implement process improvements within the supply chain.
Develop and implement models and algorithms for complex supply chain problems, utilizing machine learning and operations research techniques. Collaborate with various functional areas to optimize supply chain processes and drive performance improvements.
The Director of Data Science will lead a team responsible for driving business outcomes through advanced analytical methods. This role involves managing machine learning models, collaborating with senior executives, improving data governance, and delivering actionable insights while managing multiple projects to enhance ad performance and customer engagement.
The Director will lead the data science team at Snap Inc, focusing on driving business outcomes through strategic improvements using data analysis. Responsibilities include developing machine learning models, managing analytics projects, improving data management, and leading a high-performance team to provide insights and recommendations.
As a Data Scientist II, you will analyze data to build models that drive efficiency and decision-making in healthcare. You'll leverage advanced statistical and AI methodologies, develop automated data processes, and collaborate closely with various teams to improve healthcare outcomes. The role involves data manipulation, model evaluation, and presenting findings, impacting both patients and business solutions.
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