Top Data & Analytics Jobs in NYC, NY
As a Senior Machine Learning Engineer at ServiceNow, you will be at the forefront of AI innovation, transforming work processes with cutting-edge technologies. Responsibilities include AI exploration, POC data set creation, data pipeline development, rapid prototyping, automated feature engineering, collaboration, innovation, and monitoring AI trends.
Lead and oversee ML projects from planning to delivery, drive long-term vision of the team, collaborate cross-functionally with various teams, and ensure timely and budget-friendly completion of projects in AI Services at ServiceNow.
Seeking a dynamic and strategic GTM Strategy & Planning Analyst to shape key business decisions and drive growth initiatives within a global organization. Role involves developing strategic plans, providing insights, and collaborating with cross-functional teams.
As a Distinguished Architect at ServiceNow, you will lead AI initiatives, collaborate with teams, build elegant architectures, architect reusable components, influence leadership, perform competitive analysis, and share thought leadership in the AI industry.
Play a major role in building AI and Machine Learning solutions to transform user experience and workflow efficiency of enterprise services. Collaborate with a team to produce quality software and work on cloud-based AI/ML solutions for intelligent enterprise services.
Drive Pricing Analytics and Insights roadmap, build tools for pricing team, support day-to-day analytical needs, mentor team on advanced quantitative research, collaborate with stakeholders.
Seeking a Senior Incident Response Analyst to manage incident response and data quality issues. Responsibilities include responding to incidents, identifying root causes, prioritizing incidents, analyzing data quality metrics, and collaborating with stakeholders. Must have at least 5 years of experience in incident management and data analysis.
Seeking a motivated individual for a unique role focusing on incident management and data quality. Responsibilities include responding to incidents, identifying root causes, prioritizing incidents, data analysis, data cleansing, and collaborating with stakeholders.
Lead and mentor a team of Data Scientists and UX Researchers, identify research opportunities, oversee day-to-day operations, develop research strategies, collaborate with cross-functional teams, and present insights to senior executives.
Lead a team of Data Scientists and Machine Learning Engineers to create AI models that drive company growth. Define AI strategy, identify use cases, build accurate models, and teach business teams how to use them for decision-making.
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