Top Data Science Jobs in Tijuana

Lead Upstart's Auto Analytics team, managing analytics for Auto Refinance and Retail Lending, enhancing decision-making and growth strategies through data insights.

The Home Lending Portfolio Owner leads data strategy, governance, and integration, enhancing product delivery and analytics to achieve strategic objectives and protect data quality.

Lead the development of data science solutions and mentor a team. Drive innovative projects and prepare insights for stakeholders while managing enterprise-level data science initiatives.

The Marketing Analyst will measure media investments, optimize marketing performance, support decision-making, and develop actionable insights through analysis and reporting.

Lead the Retail Fraud Strategy and Analytics team at Capital One, managing analytics and strategy to combat fraud while driving business growth. Engage in product development, marketing, and credit risk analysis while mentoring analysts and collaborating across departments.

The Data Governance Solutions Architect will design and implement data governance strategies, ensuring compliance, enhancing data quality, and defining standards for data management while collaborating with various teams and stakeholders.

The Data Owner Lead manages data quality, integrity, and governance, driving data solutions aligned with business objectives and fostering a data-driven culture.

The Sr. Director of AI & Data Science leads AI initiatives across the business, driving innovation, strategic decisions, and responsible practices while managing a significant budget and team.

The Director of Data Science & Analytics will manage a team, drive analytics vision, enhance product outcomes, and partner with executives.

The role involves time-series forecasting, data analysis, enhancing forecasting processes, and consulting with stakeholders to optimize resource planning.

This internship offers hands-on experience in data analytics, focusing on advanced analytics and data modeling within various business units at CNA, including mentorship and potential full-time opportunities.

Lead the Product Analytics & Data Science team, focusing on mentorship, stakeholder management, and executing data projects to drive insights and value.

The role involves leading a team to develop AI and ML solutions, manage customer interactions, and analyze large data sets using various technologies.

Lead a data science team, manage analytics strategies, collaborate with stakeholders, conduct complex data analyses, and drive business performance.

Lead and empower the data science team, coordinate with stakeholders, develop client relationships, manage project lifecycles, and drive continuous improvement in data science practices.

This role leads advanced analytics initiatives using machine learning and statistical techniques to solve business problems and optimize performance metrics.

As a Data Scientist, you will build machine learning models and work with a cross-functional team to deliver impactful data-driven products.

The Manager, Data Science will lead a team to build machine learning models, leveraging various technologies to derive insights from large volumes of data while partnering across teams to achieve business goals.

Lead a cross-functional team to assess model risks, build machine learning models, and influence decision-making using advanced statistical techniques.

The Education Engineer will create educational content and curriculum for developers using LangChain tools, collaborating with engineering teams to enhance learning experiences in applied AI.

The Data Scientist will develop strategies to extract insights from large datasets, implement data analysis methods, and communicate findings to both technical and non-technical audiences, requiring advanced knowledge in various data and statistical methodologies.

As a Senior Data Scientist for Sports Modeling, you will develop and implement statistical and machine learning models, work with data assets, and ensure integration into applications while collaborating with teams across the organization.

The Data Scientist will develop strategies for data analysis, model implementation, and communicate findings effectively while ensuring compliance with security clearance requirements.

The Data Scientist will extract insights from large datasets, develop analytic models, and communicate findings to non-technical audiences for federal government projects.

Develop advanced algorithms, apply statistical techniques, support clients with data analysis, contribute to emerging datasets, mentor junior associates, and advance thought leadership through research.