Top Remote Data Management Jobs in New York City, NY

The Manager of Ontology and Data Modeling will develop and maintain enterprise ontologies, collaborate across teams to create domain ontologies, manage data modeling roadmaps, advocate for semantic technology, and mentor junior associates. They will also be responsible for data integration and ensuring ontologies adhere to W3C standards.

The Director of Data Science will lead the Machine Learning team to develop ML products that enhance OpenX’s ad marketplaces. Responsibilities include forming the ML vision and strategy, guiding the ML team, innovating on models and algorithms, and fostering team culture.

Lead and manage a team of data engineers while overseeing the development of the data platform. Foster team collaboration, drive project timelines, and ensure successful delivery of data-driven solutions. Handle technical challenges and support the growth of team members.

The Data Science Director for Product Analytics will lead a team of data scientists and engineers to develop product-related metrics and insights, deliver self-service analytics, and support reporting efforts for executives. Additional responsibilities include building analytics infrastructure and promoting effective data usage across the company.

As Director of Data Science and AI at Cisco Meraki, you will lead a growing team to apply quantitative methods and develop machine learning models that enhance customer value and drive product development. Your role will involve strategizing AI use cases, overseeing AI/ML solution deployment, and improving data infrastructure in collaboration with various partners across the organization.

As a Senior Manager at Arity, you will lead R&D teams in developing machine learning models for driver behavior detection. Your role will involve collaborating with product and engineering teams, managing diverse teams of data scientists, and executing communication strategies to ensure successful project outcomes.

The Strategic Data Science Lead drives data-driven initiatives and strategic planning through data collection, analysis, model development, and stakeholder engagement. This role includes developing AI/ML models, conducting feasibility analyses, and collaborating with cross-functional teams to align on strategic objectives.