Top Data & Analytics Jobs in Detroit, MI

As a Senior Data Scientist, you will leverage organizational data for insights that enhance user experiences and boost business efficiency. Key responsibilities include developing predictive models, deploying advanced analytics solutions, and collaborating with cross-functional teams to solve complex transportation challenges. The role emphasizes creativity, problem-solving, and a deep understanding of business needs.

As a SOC Analyst, you will monitor security events, perform threat analysis, and respond to incidents. Responsibilities include developing response procedures, providing guidance to the security team, and staying updated on security threats. You will work independently with customers and troubleshoot basic issues.

The Senior Scientist will develop quantum chemistry algorithms, collaborating with cross-functional teams to create optimized quantum workflows and address real-world problems using IonQ's quantum computers, while building reusable software platforms.

The Data Governance Manager will lead the organization's data governance activities, manage data access, ensure compliance with regulatory requirements, improve data quality, and develop a strategic roadmap for data governance. This role involves collaboration with business leaders and oversight of the enterprise data inventory.

The Chief Data Architect will lead data strategy and architecture efforts, design robust data architectures, oversee technology leadership, establish data governance, optimize data systems, mentor team members, and manage architecture projects within budget and scope.

Lead the Enablement team at Jellyfish, guiding data scientists and engineers in producing analytics, insights, and tools to inform product and business strategies. Deliver self-serve analytics capabilities, support executive reporting with bespoke analyses, and maintain analytics infrastructure while fostering a culture of data-driven decision-making.

The Associate Manager, Data Annotation role involves leading a multi-lingual team responsible for data annotation and transcription processes. This includes managing projects, creating guidelines, ensuring data quality, and staying updated with AI advancements to support machine learning initiatives.