Top Data & Analytics Jobs
The ServiceNow Business Process Consultant will help clients adopt ServiceNow best practices by analyzing business needs, leading process improvement workshops, and ensuring solutions align with client expectations. They will also manage client relationships and provide mentoring to team members while acting as the Subject Matter Expert in relevant areas.
The Threat Intelligence Analyst will analyze threats and provide intelligence expertise, manage compliance and data quality, and supervise team members. Responsibilities include deep dive analysis using OSINT tools and synthesizing cyber intelligence from multiple datasets to inform on potential risks.
The Senior Applied AI Researcher will conduct applied AI research to improve M&A processes by developing AI models, collaborating with cross-functional teams, and prototyping AI solutions. This role focuses on enhancing efficiency in document review and organization while ensuring customer trust and product innovation.
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Research and develop color perception algorithms and computer vision for camera and AR applications, work on imaging technology for camera capture and augmented reality experiences, collaborate with cross-functional teams, and provide leadership for new project development.
As a Data Scientist with EverBright, you will develop machine learning models, analyze data quality, and optimize VPP dispatch. You will also work with distributed computing platforms and contribute code to product development teams.
Deckers Brands is seeking a passionate Data Engineer to expand their data ecosystem, collaborate in designing future data infrastructure, and make data accessible throughout the organization. The role involves developing integrations, producing datasets, collaborating in AWS infrastructure design, writing production-level code, and creating data pipeline monitoring automation.
As a Database Engineer, you will develop databases and database code, focusing on stored procedures and ETL automation for healthcare analytics. Your role will involve collaborating with the Tech Team, optimizing database performance, and working with complex datasets to enhance client services in healthcare institutions.
As a Senior Data Engineer, you will develop and maintain data pipelines using tools like Databricks and Airflow, write maintainable Python code, and design solutions with Kubernetes. You'll collaborate with Data Science teams to build scalable applications and manage data from diverse sources while ensuring effective communication across teams.
The Expert Decision Support Analyst will lead high-complexity projects, ensuring alignment with strategic goals, analyzing client needs, and providing data-driven insights. Responsibilities also include collaborating with teams, managing campaign processes, and demonstrating expertise in client-specific technical and business environments.
As a Senior Data Engineer (AI), you will design and maintain data pipelines, manage infrastructure, and integrate AI/ML applications. This role involves collaboration across teams to enhance data-driven decision-making and cybersecurity solutions.
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