Top Artificial Intelligence Data & Analytics Jobs

The Marketing Analyst will develop a unified measurement framework, lead marketing mix models, evaluate brand performance, and create automated dashboards to optimize marketing investments and provide actionable insights.

As a Data Scientist in Customer Analytics, you will analyze customer data, measure Cresta's impact through experiments, and build dashboards for insights. You'll collaborate with cross-functional teams and support strategic customer initiatives.

The Data Scientist II will analyze data, create actionable insights, develop algorithms, and support the go-to-market team to drive revenue while educating customers on the value of Socure's products.

The Director of Business Intelligence & Enterprise Analytics will lead data transformation, build BI infrastructure, enhance productivity, and manage a high-performing analytics team.

As a Data Technologist, you manage client data intake, sanitization, and organization, collaborating with engineering teams to ensure accurate data processing and quality assurance.

As a Software Engineering Intern, you will design and develop features for Matroid's computer vision platform, collaborate with a multidisciplinary team, and incorporate user feedback while working with modern technologies.

The Manager leads business intelligence and data operations, establishes KPI governance, oversees executive reporting, and ensures data-driven decision-making across teams.

As a Power Markets Analyst, you will develop methodologies for market-informed studies, manage market data infrastructure, configure production cost models, and connect transmission planning to market outcomes while collaborating with product and engineering teams.

The AI Solution Manager role involves developing AI solutions for Federal clients, leading multi-disciplinary teams, and driving AI adoption to solve critical business challenges.

As a Data Platform Engineer, you'll architect and implement data services, build data pipelines, optimize for real-time risk assessment, ensure data governance, and collaborate across teams.