As a ServiceNow Senior Staff AI Architect you will build our Connected AI Platform and lead the architecture of AI solutions embedded within digital workflows to transform how users interact with our applications. The ideal candidate has deep expertise in AI/ML systems design, personalization, and experience working within Digital Technology (DT) and enterprise software environments.
You will partner with stakeholders across different product domains, infrastructure, and leadership, driving data related technical problems at scale. Design and implement maintenance automations for different data stores, this includes automations for upgrades, backups, migrations … etc. You will ensure Data stores scalability and reliability through proactive analysis and thorough capacity planning.
As a Senior Data Engineer, you will drive the development of our groundbreaking data ingestion and processing pipeline. This role offers a unique opportunity to contribute to a predominantly greenfield project in a fast-growing, machine-learning startup. You will collaborate with a dynamic team of data scientists, software engineers, business experts, and visionaries. In this critical role, you will revolutionize inventory decisions for apparel brands.
Join a SaaS-oriented product team building applications and tools for OT Security Operations teams to conduct threat hunts, operate more efficiently against adversaries, and explore data that Dragos uniquely collects. You will be instrumental in developing the data infrastructure that powers our cloud-based threat intelligence platform and community defense initiatives.
Lead and transform our organization's data and analytics capabilities by developing and executing an integrated Data, Analytics, and AI strategy that accelerates commercial growth, drives business value, ensures data governance, and encourages collaboration across regions. This position will deliver innovative, data-driven solutions that enhance customer experience and boost market performance.
Serve as a statistical department resource and mentor biostatisticians. Direct activities of other biostatistics personnel on assigned projects to ensure timely completion of high quality work. Provide support across all statistical tasks during the lifecycle of the project, from protocol to CSR. Prepare Statistical Analysis Plans, collaborate with sponsors if required to support the statistical analysis results of clinical trials.
ServiceNow is seeking an innovative and experienced Enterprise Search Architect to lead the next phase of AI powered search for our employee and customer-facing search capabilities. You will drive the design and implementation of scalable, intelligent, and high-performance search systems across our platform focusing on relevance, accuracy, personalization , and AI-enhanced discovery . You will bring expertise in modern search architecture, vector-based retrieval (e.g., RAG), traditional IR models, and enterprise search platforms.
The Data Governance Specialist will play a critical part in shaping and operationalizing data governance practices to ensure alignment with regulatory requirements, industry best practices and business requirements. This role involves leading the development and implementation of a comprehensive data governance framework and collaborating with cross-functional teams to identify and classify sensitive data.
Architect and deploy machine learning systems that power real-time bidding, cross-channel budget allocation, incrementality measurement, and lifetime value optimization for Carter’s platform, while mentoring data scientists and data engineers, collaborating closely with product and engineering, and helping shape Carter’s technical roadmap in the fast-evolving adtech landscape.
Core BTS is seeking an Azure Data and Analytics Consultant to design, build, and deliver end-to-end data and analytics solutions for enterprise clients. The candidate should have data engineering experience in Azure and familiarity with modern data platform technologies like Azure Analysis Services, Azure Data Lake, Azure Databricks, Azure Data Warehouse, and Azure Data Factory.