Top Remote Data & Analytics Jobs in Raleigh, NC

The Principal Data Engineer at Hypergiant will develop and improve a data service for cloud-based applications, support data modeling, collaborate throughout the software development lifecycle, ensure high-quality code and data reliability, and lead technical initiatives while fostering a culture of continuous improvement.

As a Project Analyst in M&A/Technical Diligence, you will support project management functions, maintain tools, track action items, and facilitate document management. You will collaborate with senior team members, provide feedback on software platform design, and help establish standards for project quality and speed in renewable energy development.

The Staff Data Scientist will collect, analyze, and optimize big data while contributing to the organization's Big Data Strategy. Responsibilities include building predictive models, creating visualization dashboards, and collaborating with cross-functional teams to drive data-driven solutions. The role emphasizes continuous learning and innovation in data science methodologies.

As an Applied Data Scientist, Analytics Engineer, you will execute client engagements, focusing on data modeling, building predictive models, and deriving insights from analyses. You will collaborate with cross-functional teams to create scalable solutions and maintain proficiency in statistical techniques and programming languages. This role involves working with large datasets and requires strong communication skills.

As a Senior Data Scientist for JD Power, you'll lead complex data science projects, focusing on feature engineering and model building. You will leverage advanced AI/ML techniques and tools like SQL, Python, and AWS SageMaker to extract insights and impact products in the automotive industry. Your role will also involve collaborating with teams to develop analytics for new products and creating visual reports for clients.

As a Data Analyst at Federato, you will design and maintain dashboards, lead the development of analytics products, collaborate with product teams to integrate analytics into existing workflows, and work with the data science team to monitor ML model performance. Strong dashboard development and statistical analysis skills are essential.

The Solutions Associate will develop and deliver data-driven insights products for clients. They will collaborate with marketing, sales, and data product teams to provide actionable insights and recommendations.