Top Data & Analytics Jobs

As a Principal Architect, you'll guide technology choices, develop architecture roadmaps, create coding frameworks, and drive innovative solutions in cloud and related technologies.

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

The role involves validating market risk models, utilizing statistical modeling and machine learning, and clearly communicating findings to stakeholders.

As a Risk Manager, you'll analyze and mitigate security risks, implement fraud defenses, and collaborate with cross-functional teams to enhance security objectives.

The Quantitative Analyst will analyze models and model risk practices, applying statistical and machine learning methods while collaborating with cross-functional teams to enhance business strategies and performance.

As a Quantitative Researcher, you'll optimize trading processes utilizing data analytics, model development, and collaboration with trading desks. You'll drive research agendas, create analytics tools, and implement trading strategies in a team-focused environment.

The Senior Quantitative Analyst will define project objectives, manage projects, conduct data engineering, code, and ensure production compliance, while collaborating with stakeholders.

As a Senior Applied Scientist, you will develop and deploy large language models, collaborate on AI projects, and improve AI features for Datadog.

The Director of Data Engineering and Analytics will lead Chewy's data analytics initiatives, manage teams, and drive strategic business decisions through data-driven insights and reporting.

The Director will lead Chewy's Data and Analytics department, oversee project management, drive innovations in data analysis, and manage a team to enhance business partnerships and reporting standards.

The Manager of RevOps/Yield analyzes patterns and data to optimize ad operations, manage vendor relationships, and oversee a remote team for revenue generation.

The Data Scientist at Parafin will lead data-driven projects, providing insights for growth, product development, and financial modeling while collaborating across diverse teams.

The role involves leading data science initiatives, managing large datasets, developing predictive models, and building a high-performing analytics team.

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.

The ML Engineer will design scalable ML training systems, productionize research prototypes, and enhance a question-answering platform while bridging research and engineering.

In this leadership role, the Principal Architect develops and implements enterprise-wide data security strategies, focusing on AI and ML challenges, while mentoring teams.

The role involves driving data governance strategy and practices across the Bank, collaborating with cross-functional teams, leading data quality initiatives, and mentoring analysts while ensuring compliance with data governance standards and improving data quality.

The Pricing Analyst will develop pricing strategies, analyze product and customer profitability, and leverage data analytics to enhance pricing processes.

The Strategy & Analytical Consultant develops business strategies using Equifax's analytics platform, collaborates with clients, and drives new sales opportunities through quantitative analyses.

The Senior Data Analyst leads complex analytical projects, collaborates with internal partners to translate business needs into analytical solutions, and develops data quality standards. They mentor analysts, create visualizations, and present insights to senior stakeholders.

The Director of Commercial Analytics will lead a team, driving data-driven decision making, managing analytics, and contributing to business growth strategies in Abbott Nutrition.

As a Data & Analytics Analyst, you'll collaborate with clients to create tailored solutions, implement prototypes, and share ideas to solve analytical challenges.

The Senior Risk Data Analyst will build risk analytics functions, develop performance metrics, conduct fraud analysis, and create machine learning models while collaborating with cross-functional teams in a fintech startup.

Develop, refine, and execute automated trading strategies using machine learning, conducting research to enhance trading algorithms and improving workflow efficiency.