Top Data Science Jobs in Charlotte, NC

The Revenue Operations Analyst will analyze revenue data, optimize processes, and support go-to-market teams by identifying trends, generating actionable insights, managing performance metrics, and enhancing sales productivity through collaboration and best practices implementation.

The Senior Applied Scientist will work on enhancing customer and service provider matching, developing machine learning models, analyzing marketplace dynamics, and evolving monetization strategies to improve the user hiring experience on Thumbtack's platform.

The Senior Software Engineer role entails developing web applications and APIs within an Agile Scrum team. Responsibilities include collaborating on new features, solving technical problems, mentoring colleagues, and leading technical projects while adhering to coding standards and best practices.

The Revenue Operations Senior Analyst will manage pipeline reporting and forecasting, design compensation plans, conduct data analysis, and collaborate with sales teams to enhance operational efficiency. Responsibilities include maintaining reports, supporting sales enablement, and optimizing processes through automation.

As a Research Engineer at Chainlink Labs, you will define research agendas, drive projects that enhance decentralized oracle technologies, and maintain Chainlink's leadership in smart contract ecosystem solutions, while collaborating with a cross-disciplinary team to innovate in applied cryptography and security.

This role involves driving engagement data science work for Instacart by focusing on product strategy and intelligent systems. Responsibilities include utilizing data to identify opportunities, estimating impact of new features, conducting experiments for impact measurement, and improving features through advanced data science methods including statistical and machine learning techniques.

As a Data Scientist II, you will analyze data to build models that drive efficiency and decision-making in healthcare. You'll leverage advanced statistical and AI methodologies, develop automated data processes, and collaborate closely with various teams to improve healthcare outcomes. The role involves data manipulation, model evaluation, and presenting findings, impacting both patients and business solutions.