Top Data Science Jobs in Tijuana

The Data Scientist will design and implement machine learning algorithms, analyze datasets, communicate findings, and meet mission requirements using technical expertise.

The Quantitative Researcher will analyze private credit markets using statistical models, conduct data analysis, and communicate insights to support investment teams.

The Quantitative Research Analyst will analyze financial data, develop investment models, and assist in portfolio construction while employing data science techniques.

As an LTE Performance Analyst, you will evaluate and optimize LTE network performance, analyze data, identify issues, and implement solutions.

The Manager, Data Science role focuses on leveraging machine learning and analytics in a financial services environment, partnering with cross-functional teams to impact customer-centric product development.

As a Data Science Platform Engineer, you will build frameworks for predictive models, expand NLP analysis, and develop Java applications, while collaborating with the data science team.

Manage pricing strategy for fantasy sports markets, lead a team, develop pricing models, collaborate cross-functionally, and ensure data integrity.

The intern will contribute to the Global Sales Account Management Team by enhancing AI and data-driven capabilities, creating training materials, and promoting data literacy among account managers.

Manage the TerrorismTracker database by ensuring data accuracy, researching terrorism incidents, and collaborating with data scientists to automate data processes.

The Founding Data Scientist will design metrics, enhance data insights, collaborate on platforms, and communicate strategies for user safety.

Join Clarity AI's Talent Community by submitting an open application for various roles in product, technology, finance, marketing, or operations to drive positive impact.

As a Senior Pricing Analyst, you'll develop advanced analytical solutions, support market access initiatives, manage relationships, and optimize promotional strategies within the Early Intervention organization.

The Director oversees product master data, ensuring harmonized information across the R&D lifecycle, utilizing ontology and knowledge graphs for advanced analytics and compliance.

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.

The VP of Risk Data Science & AI at PayPal will modernize fraud risk decisioning using leading technologies, build strong teams, and influence key stakeholders.

The role involves overseeing data analytics to prevent fraud, deploying strategies for account assessments, and collaborating with various teams to improve risk identification and project delivery.

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

Interns will engage in data science, engineering, and analytics roles, utilizing data to provide insights and improve decision-making processes for Chevron.

The Principal Consultant will lead data-driven consulting projects in the Technology, Media, and Entertainment sector, develop analytics frameworks, manage client relationships, and provide high-end analytics solutions to enhance marketing effectiveness and business strategies.

The Manager, Business Analytics will lead the development of data science solutions, consult with clients, and mentor junior team members while analyzing large datasets to drive business insights.

Agap Technologies Inc. offers online Data Science training, providing real-time instruction, interview training, and support for OPT applications with a professional environment.

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.