We are seeking a talented and highly motivated Computer Science 3rd year Intern to join our Generative AI and NLP team. This is a unique opportunity to contribute to the development of cutting-edge AI technology. Responsibilities include collaborating with AI experts, conducting research, and contributing to the design and evaluation of novel AI and NLP solutions.

DMI is seeking a full-time Lead Data Engineer to support our manufacturing clients’ large scale digital transformation. The responsibilities include demonstrating skills in abstract development frameworks, accountability, leadership, technical competency, timely delivery, and effective communication. The ideal candidate will have extensive experience in data pipelines, transformations, and Agile methodologies.

The Data Analyst will play a key role in leveraging data to drive strategic decision-making within the Council; they will analyze large datasets, identify trends, and provide actionable insights to improve business operations and support data-driven decision-making. The analyst is responsible for data mining and data exploration to identify patterns and trends in data and will be expected to use tools and techniques to improve business processes.

This role will own and manage customer data platform (CDP), tracking infrastructure, and marketing analytics tooling, ensuring accurate, privacy-compliant data collection across platforms. This person will work cross-functionally with marketing, product, engineering, and data teams to support growth, measurement, and reporting needs.

Focus on designing and implementing scalable and efficient applications to support our data needs. Collaborate closely with data scientists, analysts, and other cross-functional teams to build and optimize data pipelines, ensuring that data is accessible, secure, and well-structured for analytics and reporting. Involves developing and maintaining micro-services that integrate with our data-lake.

We are looking for a leader with a passion to develop novel machine learning software systems for credit modeling and default risk prediction, deploy the systems to production, and test them to ensure all users and merchants needs are covered. You will perform ETL to build model features using petabyte-scale datasets. You'll have a ton of trust and responsibility.

The Data Warehouse & Analytics team builds foundational datasets and analytics services that enable BI and data science across CoreWeave’s cross-functional domains, seeking a skilled Senior Data Architect to lead the development of foundational data models that empower Business Intelligence Engineers, analysts, and data scientists to efficiently gain insights from enterprise data.

Join our Machine Learning Applications Team as a Data Scientist, where you'll enhance statistical methods, optimize app features, and collaborate with commercial teams to improve data pipeline and model accuracy. Responsibilities include research and development of high-impact production features, applying state-of-the-art methods, and mentoring junior team members in a vibrant, international environment.

Nava’s Enterprise Data Architect works with fellow Nava engineers to design, review, and build well-crafted data solutions. The incumbent collaborates with government partners and other contractors to architect, implement, and deploy new systems and improvements to existing systems, while working in an agile manner to efficiently deliver new features that meet user needs.

The Senior Healthcare Data Engineer will lead in implementing solutions for data ingestion, transformation, integration, and delivery. This role requires technical expertise in Python, SQL, and API development, creating scalable systems. They will define data interoperability strategies and ensure industry standards compliance, mentoring team members and driving innovation.