Top Data Science Jobs in Leon

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.

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

As a Data Science Platform Engineer, you will enhance predictive models, develop tools for real-time predictions, expand NLP capabilities, and ensure production system performance within a collaborative team.

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

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

This internship focuses on data ingestion and validation, requiring collaboration with interdisciplinary teams to enhance data quality standards and evaluation processes.

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

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

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

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

Lead the Internal Audit Data Solutions program by applying data analytics and AI-driven solutions to enhance audit capabilities and risk management. Collaborate with teams to develop data-driven testing and automation in auditing processes, while recommending tools and methodologies for improved efficiency.

Analyze data to identify investment opportunities and support due diligence. Collaborate across teams to implement insights for investment decisions.

The role involves partnering with portfolio managers to enhance research and decision-making using AI and quantitative analysis, developing predictive tools and conducting data-driven research across asset classes.

As a Senior Data Engineer, you will lead data strategy, manage data sources, and implement data visualization and management tools to support clinical trials and insights generation.

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.