Top Data Science Jobs in Mexico City

As a Data Science Engineer at PrizePicks, you will develop and maintain streaming data and MLOps infrastructures, ensuring data reliability and quality for pricing models. Collaborate with data science, engineering, and product teams to operationalize data science assets and deliver real-time market offerings.

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.

As Director of Data Science at Chewy, you will lead a team to enhance customer and advertiser experiences via advanced machine learning solutions. Responsibilities include model development, collaboration with product teams, publishing research, setting performance standards, and mentoring staff.

As a Senior Applied Scientist at Chewy, you will lead the deployment of machine learning and data science to enhance shopping experiences, develop new models, and influence product and engineering strategies. You will mentor junior scientists and present research findings to business leaders.

As a Staff Data Scientist at ezCater, you will lead the design and implementation of advanced data science models and statistical analysis. You will mentor other data scientists, innovate analytics techniques, conduct A/B testing, and develop predictive models to enhance customer experience and contribute to data-driven decision-making.

As a Data Science Lead in HR Data & Analytics, you will conduct analyses of HR and business data to provide actionable insights. You'll design and implement analytical models, collaborate with users to understand requirements, develop solutions, and guide junior team members. Your role will include ensuring data quality and adhering to compliance policies.

The ABP Fellowship is a five-week paid summer program designed for undergraduate sophomores to explore career opportunities in financial services. Fellows will engage in learning, mentorship, and a project-based curriculum. Successful completion may lead to a 2026 Summer Internship offer.

The AHL Fellowship Program is a five-week summer opportunity for undergraduate sophomores, focusing on financial services. Fellows will gain insights from senior leaders, participate in training, and work on a curriculum-based project aimed at professional development and potential future employment with JPMorgan Chase.

The Manager of Data Science will lead a team focused on leveraging advanced analytical techniques to solve business problems related to credit risk and home loan acquisition. Responsibilities include strategic thinking, team management, performance tracking, and developing analytics frameworks to drive business insights and strategies. The role requires active participation in developing machine learning algorithms and delivering findings to various leadership levels.

Senior Manager, Data Science role at a Fortune 200 company specializing in credit card industry disruption and data-driven decision-making. Responsibilities include partnering with cross-functional teams, building machine learning models, leveraging technologies like Python and AWS, and translating complex work into business goals. Ideal candidate is customer-focused, a leader, technically proficient, and a data guru. Basic qualifications include a Bachelor's Degree with 7 years of experience in data analytics or a Master's Degree with 5 years of experience.

As a Manager in Data Science at Capital One, you will lead a team to leverage advanced data analysis and machine learning techniques. Your role involves building machine learning models, collaborating with cross-functional teams, and delivering impactful applications that enhance the customer experience.

As a Data Scientist at Capital One, you will partner with a cross-functional team to deliver customer-focused products. You will leverage technologies like Python and SQL to extract insights from large datasets, build machine learning models, and translate complex analysis into business goals. Your role will involve innovative research and evaluation of technologies while working on impactful applications such as fraud detection and product recommendations.

Lead a team of analysts in Global Data Science, focusing on innovative solutions using Visa's vast data set. Engage with internal and external partners to address strategic business questions, develop visualizations, and create custom data models. Drive product optimization and improve business strategies through predictive modeling and data analysis.

The Lead Machine Learning Engineer will develop innovative AI and machine learning solutions for Disney's advertising platform, driving improvements in ad inventory forecasting, experience, pacing, pricing, targeting, and delivery. The role involves designing ad algorithms, conducting scalable data analysis, and collaborating across teams while mentoring junior members.

As a Data Science Manager at Capital One, you will lead the team in building advanced machine learning solutions for Upmarket Customer Management valuation. You will connect data science solutions with business outcomes and collaborate with senior stakeholders.

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.