As an AI Architect, you’ll be the company’s go-to expert for all things artificial intelligence — defining our vision, leading architectural strategy, and ensuring AI is seamlessly integrated into every product and platform we build. You’ll work at the intersection of innovation and execution, partnering closely with Product, Engineering, Data, and Security teams to turn advanced AI technologies into business value. From developing architecture blueprints to guiding implementation and governance, this role is both hands-on and strategic.
Experian's commercial division of Machine Learning and Advanced Analytics team is looking for a Data Scientist to support internal and external credit modeling projects; you'll work with analytics consultants, external clients, and other project team members to lead modeling projects from beginning to implementation.
Establish and lead the Product Science function, ensuring product decisions are grounded in rigorous experimentation, advanced analysis, and AI tools. Partner with Product, Data, Engineering, and Design, building a culture of evidence-based decision making and helping teams leverage AI in their day-to-day work.
Join the team as a Data Engineer and help improve the lives of people with diabetes through data-driven innovation. As a senior member of the Data Engineering & Analytics team, you’ll lead big data engineering and cloud-based analysis to support real-time decision-making, define scalable data strategies, and build secure, efficient pipelines. You’ll operationalize machine learning models and uncover insights across key domains.
Conduct ground breaking research in music generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based audio processing, music information retrieval, machine learning, and signal processing. Run large-scale experiments with access to Spotify’s extensive infrastructure. Collaborate as part of a cross-functional team to craft innovative solutions to complex challenges, pushing the boundaries of what’s possible in listening experiences.
Play a pivotal role in shaping the data landscape and driving the strategic use of data across the organization, with a focus on go-to-market solutions. Be instrumental in building SSOT models in DBT & Snowflake, maintaining robust, scalable data pipelines, and enhancing our data infrastructure to support analytics and data-driven decision-making. This role is 100% remote and can be based anywhere in the United States or Canada.
You will design and maintain high-throughput, low-latency backend systems that process and serve massive amounts of data, collaborate across teams to deliver scalable, reliable, and high-performance solutions used by thousands of enterprise customers worldwide. Solve complex technical challenges, from optimizing concurrency and synchronization to debugging distributed behaviors and improving system reliability.
We are seeking a data-driven analytics expert to manage and configure Adobe Analytics and Google Analytics platforms. The role involves implementing tracking strategies, managing tag configurations, and enabling actionable insights across digital properties.
looking for a talented and experienced Software Engineer to join our Data Platform team to play a crucial part in designing, building, and optimizing our platform to support a wide range of data-driven initiatives. You will work closely with cross-functional teams to understand business requirements, architect scalable solutions, and implement data solutions and infrastructure for our Data Platform.
Under direct supervision, develops, implements, and maintains various database applications. Communicates with relevant stakeholders to ensure data is accurate and in compliance with regulatory standards. Provides support for special projects and assignments. Researches, analyzes, and summarizes information and source materials for reports.