Top Data Science Jobs in Mexico

As a Director of Data Science at Capital One, you will lead a team focusing on model risk, utilizing your expertise in statistics and software engineering to drive decisions in risk management. You will leverage cloud technologies and machine learning to develop models, and work cross-functionally with various teams to deliver value to customers.

As a Manager of Data Science, you'll lead initiatives to enhance code quality and standards. You will present progress to stakeholders, evaluate machine learning pipelines, and optimize software tools for better data insights. The role emphasizes teaching best practices in software development to the team.

The Data Science Manager at Capital One will be responsible for building customer management valuation models using advanced machine learning solutions. They will work closely with cross-functional teams to deliver impactful business outcomes.

The Data Science Manager at Capital One's US Card team will lead the development of advanced machine learning solutions for customer management valuation. Responsibilities include applying machine learning algorithms, connecting data science solutions with business outcomes, and managing existing model suites. The ideal candidate should have strong software engineering skills, proficiency in machine learning algorithms, and the ability to communicate technical details effectively.

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 Data Scientist, you will collaborate with a team to develop machine learning models and gain insights from large datasets. Your responsibilities include leveraging technologies like Python and AWS, translating complex data into business objectives, and leading projects that enhance commercial banking solutions.

The Data Scientist will design and deliver models and analyses to support Capital One's talent strategies, focusing on areas such as talent attraction, diversity, and productivity. This role involves leveraging data science tools and methodologies to develop insights and high-impact solutions related to human capital challenges.

As a Senior Associate, Data Science in People Analytics at Capital One, you will be responsible for designing and delivering modeling, research, and analysis to support talent strategies. The role involves applying data science skills to understand associate behavior, improve talent attraction and retention, and enhance executive pipeline diversity. The ideal candidate is passionate about human capital, innovative, creative, technical, and statistically-minded. Basic qualifications include a Bachelor's Degree with 2 years of data analytics experience, experience in open-source programming languages, machine learning, and relational databases. Preferred qualifications include a Master's Degree in a STEM field with 3 years of data analytics experience, proficiency in AWS, Python, PyTorch, Scala, R, machine learning, and SQL.

The role involves applying data science to enhance Capital One's talent strategies by designing models, conducting research, and delivering analyses. Responsibilities include tackling human capital issues through innovative solutions, data science skills, and statistical methods, with a focus on understanding associate behavior and productivity.

The role involves leading and mentoring a team of Data Scientists and UX Researchers, prioritizing impactful research opportunities, developing research strategies, and delivering actionable insights. The manager will also cultivate team culture, present findings to executives, and oversee resource needs and hiring.

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 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.

As a Director on the AI/ML team, you will lead a team of data scientists to address complex business challenges in Global Financial Crime Compliance. This role involves designing machine learning solutions, mentoring staff, collaborating with stakeholders, and managing project lifecycles to deliver impactful AI/ML implementations.

The Executive Director will lead the Internal Audit Chief Data Office, optimizing data use for insights and AI/ML applications. Responsibilities include managing the Data Program, enhancing data quality, fostering a data-driven culture, driving strategic initiatives, and collaborating with stakeholders on data-related solutions.

As the Vice President - Data Science Lead, you will analyze large-scale workforce data to create statistical and data science models. Key responsibilities include building analytical solutions, collaborating with technology teams, and communicating results to stakeholders, all while managing a hands-on approach to data science and statistical modeling.

As a Data Science Associate Consultant, you will develop advanced algorithms, apply statistical techniques, communicate analysis findings, assess technologies, and mentor junior team members while contributing to the team's thought leadership and client engagements.

As a Data Science Associate Consultant, you will develop advanced algorithms to solve complex problems, apply statistical techniques, and analyze trends. You will work closely with clients and stakeholders to communicate findings, assess new datasets, and contribute to research and mentorship within the team.