Top Data Science Jobs in Charlotte, NC

The Sr Data Scientist provides advanced analytical capabilities, develops data products, and leads automation projects while mentoring junior scientists.

Lead the development of data science solutions and mentor a team. Drive innovative projects and prepare insights for stakeholders while managing enterprise-level data science initiatives.

Lead data science and AI initiatives, drive operational excellence, build teams, and translate data insights into business strategy for growth.

Lead Upstart's Auto Analytics team, managing analytics for Auto Refinance and Retail Lending, enhancing decision-making and growth strategies through data insights.

The Staff Data Scientist will lead predictive solutions development, collaborating with multiple teams to drive business outcomes through AI/ML model implementations.

As a Senior Applied Scientist, you will build machine learning models, mentor teams, and optimize business processes across various teams at Coinbase.

The role involves advising on business strategies using data analysis, leading initiatives, managing data sets, and communicating insights to non-technical audiences.

Lead Data Science initiatives by conducting complex analysis, developing marketing strategies, and collaborating with cross-functional teams to drive business impact and influence senior leaders.

The AI Architect will lead AI strategy and implementation, define AI architecture, manage risks, and ensure compliance across the organization.

Instruct live online data science classes, develop curriculum and learning materials, engage students, evaluate performance, and assist with technical queries.

As a Data Scientist, you'll build data pipelines, develop deep learning models for complex audio, and collaborate with teams to enhance voice AI systems.

Lead and execute HEOR strategy, derive insights from health datasets, manage a team, and communicate findings to enhance patient outcomes and reduce healthcare costs.

Join Clarity AI's Talent Community by submitting an open application for various roles in product, technology, finance, marketing, or operations to drive positive impact.

Lead the Geospatial team in developing mobility analytics, manage data science initiatives, oversee deployment of machine learning models, and collaborate with stakeholders.

Conduct cryptocurrency research to produce insights, coordinate projects with various teams, and track industry trends and developments.

The Senior Data Science Manager will lead a team of data scientists at Coinbase, focusing on data-driven decision making, experimentation, and collaboration with product teams to drive business insights and growth.

The Manager in Marketing Analytics will lead analytics projects, build client relationships, manage teams, and guide strategic consulting for key clients.

The Lead Data Scientist will drive AI/ML initiatives to enhance search capabilities, improve performance and personalization, and mentor teams.

As Director of Data Science, you will lead predictive solutions and analytics for marketing, sales, and product development, mentor teams, and establish data-driven strategies aligned with business objectives.

Lead a data science team in developing measurement solutions for on-road autonomous vehicles, ensuring safety and compliance while fostering collaboration and continuous learning.

The Director of Data Science leads the data science team, driving innovation, managing projects, and collaborating with leadership to enhance healthcare claims processing.

The Director of Data Science will lead a team, develop strategies for machine learning initiatives, and collaborate cross-functionally to drive data-driven decisions.

The Research Manager leads research workflows, manages editorial processes, and shapes the research agenda in the crypto sector, collaborating with engineers and stakeholders.

The Director of Data Science will build and manage machine learning models, collaborate cross-functionally, and lead the ML strategy at Hungryroot.

The Data Science Analyst will apply statistical and machine learning techniques to analyze datasets, solving business problems, and providing insights for customer service improvement.