Top Data & Analytics Jobs in Detroit, MI
The Data Scientist will develop and maintain ETL processes, generate insightful reports from financial data, analyze performance indicators, and collaborate with cross-functional teams to improve financial operations and data quality.
As a Research Scientist at Waabi, you will lead AI research projects to develop algorithms for autonomous systems, work on self-driving related challenges, and deploy solutions into production while ensuring integration with platform teams. You will also publish findings at top conferences and contribute to advancing AI technologies.
As a Staff Data Scientist at ClassDojo, you will leverage data to shape strategic directions and tackle product and business challenges. Your focus will include analyzing data for user insights, designing tests, and contributing to product improvements in a high-performing cross-functional team.
The role involves labeling data, writing code, and providing feedback to enhance AI model performance. Responsibilities include annotating datasets, evaluating code, contributing to model training, and collaborating with AI professionals and data scientists.
Microblink is seeking talented individuals to join their team, focusing on innovation and bridging gaps between various entities using technology. They welcome a diverse range of experiences and encourage candidates to submit CVs and project links.
Join Rubrik's talent community to stay connected for future career opportunities. The company focuses on data security, helping organizations protect against cyberattacks and ensuring data resilience in adverse conditions. Rubrik values diversity, equity, and inclusion in the workplace.
The Developer Architecture Analyst role at Imply involves gathering insights from Apache Druid users, maintaining qualification criteria for real-time analytics databases, deploying and evaluating technologies, and shaping marketing content. You'll also influence product roadmaps based on data collected and provide educational materials for developers.
The Data Science Lead will manage data science projects, enhance and monitor the digital twin model's accuracy, and collaborate with cross-functional teams to translate business needs into analytical solutions. The role involves guiding data strategy, developing performance metrics, and mentoring team members to foster innovation.
The position involves leading a team to create innovative technology that integrates natural language processing, big data, and artificial intelligence to enhance digital communication. The candidate should have extensive experience in relevant fields and demonstrate leadership and collaboration skills.
The Sr Analyst in Marketing Technologies will oversee the evolution of the marketing technology portfolio, ensuring reliable, customer-focused solutions. Responsibilities include designing architectures, delivering features and upgrades, and collaborating across teams. The role demands the adoption of best practices and the ability to monitor emerging trends to enhance the MarTech stack for organizational needs.
Top Companies in Detroit, MI Hiring Data + Analytics Roles
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