In the role of AI Content Transformation Associate, you will bring your strong detail- and process-driven orientation to the critical work of preparing educational content for our AI-powered application where it will be transformed into an engaging learning experience that students and teachers love. This entry-level, implementation-focused role is ideal for someone who excels at detail-oriented work, enjoys working with technology, loves being part of a team, and thrives when following established processes with precision and care.
Solve complex business challenges by building custom Quickbase applications that streamline operations. Collaborate to understand business needs and translate them into technical solutions. Optimize performance and ensure applications are secure, scalable, and user-friendly by automating workflows. Develop dynamic dashboards that deliver actionable insights to business leaders.
As the Lead Data Engineer at Yobi, you will be at the center of how data moves, scales, and powers our Behavioral AI products. You will be working on various virtual teams and projects, with an eye towards schema modeling, orchestration, abstractions, workload efficiency, reliability/observability, and so on. This is a hands-on engineering role.
This engineering role is within the Strategy & Operations team, building AI-first solutions to ensure every facet of Alignable is AI-powered and data-driven. You will own projects that change how the entire company runs, like customer support automation, sales agents automation, data pipelines, and internal AI tools. You'll work closely with executives and business leaders, impacting the whole company with your work on critical projects.
As a Machine Learning Data Scientist on Extend’s Risk & Fraud Machine Learning Team, you will develop and deploy cutting-edge machine learning models to detect and prevent fraud, enhance decision-making, and drive business value. You’ll work closely with product, engineering, and operations teams to build scalable, production-ready machine learning applications that support Extend’s post-purchase products.
Responsible for developing AI and ML solutions to drive improved business performance and efficiency across domains, you will lead end-to-end AI/ML projects from understanding business needs to data preparation, model development, solution deployment, and post-production monitoring. You will dissect and solve complex business problems using analytical and quantitative approaches to identify patterns and correlations in large complex data sets.
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.
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.
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.
We are looking for a Data Engineering Intern eager to gain hands-on experience in database management, data pipeline development, and ETL processes. This internship provides an excellent opportunity to work alongside experienced data engineers, building foundational skills in data integration and data quality management. Ideal candidates should have some experience in scripting (Python preferred) and a curiosity about creating effective data solutions to support business operations.