Top Data & Analytics Jobs in Charlotte, NC

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

Responsible for designing, developing, and deploying ML models to optimize supply chain processes, collaborating with cross-functional teams, and mentoring junior scientists.

The Staff Machine Learning Engineer will lead technical strategy, collaborate on product development, ensure operational excellence, and foster team quality and ownership.

As a Machine Learning Engineer, you'll enhance ML productivity, improve model deployment, and implement algorithms for credit decisioning systems.

The Senior Machine Learning Engineer will enhance a platform for data scientists, lead ML service development, and collaborate cross-functionally to deliver AI solutions.

Lead the design and implementation of machine learning platforms at Yahoo, focusing on architecture, governance, and system performance while mentoring teams and influencing industry trends.

Lead machine learning strategy for Pinterest's search, focusing on indexing, query understanding, personalization, and generative approaches while mentoring junior engineers.

Lead the development of AI features using machine learning and large language models, mentoring the team, and transforming audit processes.

As a Machine Learning Engineer, you'll develop and deploy ML models for medical imaging, collaborate with teams, and optimize for production environments.

As an ML Engineer, you will build and productionize predictive models for ad inventory and campaign performance, contributing to the growth of Netflix's ad platform.

The Senior Data Engineer will create scalable data pipelines and manage unstructured data for AI/ML workflows, ensuring data quality and supporting data solutions. Collaboration with cross-functional teams to meet business and security objectives is key.

As a Lead/Senior Machine Learning Engineer, you'll develop AI/ML solutions, collaborate across teams, and drive data-driven strategies to enhance product development and customer value.

As a Staff Machine Learning Engineer, you will develop scalable data infrastructure, manage ML workflows, and collaborate with stakeholders to optimize data usage and build automated processes.

The ML Ops Engineer will deploy, optimize, and monitor machine learning infrastructure, collaborate with teams, and implement CI/CD pipelines.

Lead ML research and development, collaborating with engineers and clinicians to create enterprise-grade products and establish a research agenda while sharing insights through publications and presentations.

As a Senior Machine Learning Engineer, you will lead efforts in deploying ML applications, collaborate with teams to solve customer problems, and innovate AI applications.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

Design and implement machine learning models to improve Risk and Fraud detection systems. Lead technical strategy and partner with operations to address rapidly evolving challenges.