Top Data & Analytics Jobs in Baltimore, MD
As a Backend/Data Engineer, you will develop backend data tools and services, work with the Data Analytics team on technical implementations, review code, and architect cloud infrastructure on AWS while integrating APIs from platforms like Discord and Spotify.
Crisis Text Line is seeking a Senior Manager for Data Engineering & Analytics to lead the data and analytics teams in utilizing data to deliver insights and create data products for fostering crisis support globally.
The Senior Manager, Commercial Analytics will analyze products, markets, and competition while collaborating with cross-functional teams. Responsibilities include designing key analyses, sourcing data, and managing projects to ensure insightful recommendations for brand and sales strategy.
As a Data Engineer, you'll design and develop large-scale data pipelines, enhance processes, integrate data sources, and write maintainable code to support various teams in the organization. You'll optimize data architectures and support ongoing projects through effective data delivery.
The HRIS Analyst - Senior provides technical and functional support for HR systems, engaging with HR teams and IT to enhance operational objectives. Responsibilities include troubleshooting, process improvements, project management, and customer engagement to optimize HR functionalities and reporting. Regular testing and documentation of processes are also integral to this role.
Brown University Athletics is seeking candidates for multiple Athletics Statistician positions. The role involves keeping live statistics at athletic events, submitting stat packages to NCAA and Conference offices, and working alongside various staff members during events. Candidates must have knowledge of stat crew and genius stat systems, work quickly and accurately under pressure, and have a comprehensive understanding of sports rules and regulations.
As a Senior Game Data Analyst, you will collaborate with stakeholders to translate business goals into actionable analytics tasks, optimize data pipelines, engage in quality assurance, and implement innovative solutions to enhance player experiences.
The Data Scientist - Architect will design, develop, test, and support scalable machine learning solutions using Azure tools. Responsibilities include leading technical discussions with clients, assisting with pre-sales activities, elevating team talent through coaching, and identifying opportunities for Azure solution architecture in client accounts.
The Application Support Analyst will resolve customer issues with the SaaS platform, communicate with clients, troubleshoot applications, and collaborate with internal teams to develop solutions. Responsibilities include investigating code, coordinating problem resolution, monitoring systems, writing custom code, and participating in hiring efforts.
The Principal AI Research Scientist will lead innovative research in AI and machine learning, develop algorithms, manage R&D projects, and collaborate with academic and industry leaders. This role involves contributing to product vision and roadmap, conducting competitive analysis, and working closely with customers to align product offerings with their needs.
Top Companies in Baltimore, MD Hiring Data + Analytics Roles
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