Top Data Science Jobs in Tijuana

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

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

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.

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

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.

Lead a data science team to enhance patient acquisition and retention through data-driven insights and experimentation, while collaborating with various departments.

Interns will contribute to data projects using Python, big data tools, and statistical models while gaining professional experience and development opportunities.

Develop and implement advanced algorithms, apply statistical techniques, collaborate with clients, assess technologies, and mentor team members.

Lead the Data Science Platform, building predictive models for drug acquisition, optimizing portfolios, and collaborating with engineering teams for scalable systems.

This internship provides students exposure to the Federal Reserve's operations through project assignments, professional development, and a collaborative work environment.

This internship provides students with hands-on experience at the Federal Reserve Bank, working on projects while developing professional skills and insights about the organization.

Design and deploy advanced machine learning and Generative AI models, lead projects, and ensure operational viability. Collaborate with teams to deliver solutions.

Interns will develop advanced algorithms, execute statistical techniques on data sets, and collaborate with clients to communicate analysis findings.

Lead a data science team to optimize ad ranking and marketplace efficiency, develop data-driven strategies, and deliver actionable insights.

Analyze complex data sets to identify trends, enhance data collection procedures, assist account managers, and improve current analytics and reporting.

The Director of Data Science will build and manage machine learning models, collaborate cross-functionally, and lead the ML strategy at Hungryroot.

The Director of Marketing Analytics leads efforts in measuring marketing effectiveness, providing data-driven insights, and collaborating with cross-functional teams to drive customer acquisition and retention strategies.

The internship offers hands-on experience in data wrangling, visualization, analytics, and exposure to technical systems and services within CAA's Data and Tech Departments.

The Discovery Research Domain Expert will bridge scientific teams and IT, translating complex needs into actionable requirements while enhancing data usability for drug discovery.

The Head of Portfolio Analytics leads a team focused on improving underwriting through data-driven insights, analytics, and pricing strategies. Responsibilities include vision setting, team building, and fostering a data-centric culture across U.S. and Bermuda operations.