Top Data Science Jobs in Charlotte, NC

The role involves analyzing marketing campaigns, providing actionable insights, and implementing strategies to optimize campaign performance; requires collaboration across teams and advanced data analysis skills.

The role involves leading Risk Data Science, developing credit decisioning models, and ensuring compliance with model risk management in a regulated environment, focusing on next-gen machine learning techniques and alternative data integration.

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

The Senior Actuarial Assistant will lead moderate to complex analysis in risk insights, collaborate with product teams, and communicate results while managing projects in a fast-paced environment.

Lead a data science and analytics team for Netflix's game product and platform. Responsible for measurement, experimentation strategies, and coaching the team to deliver insights vital for games strategy.

As an AI Tutor, you will teach, evaluate, and red-team AI models in data science principles, focusing on statistical modeling, machine learning, and data ethics.

Lead data partnerships by executing data acquisition strategies, negotiating agreements, and evaluating data quality in clinical and observational studies.

Analyze content performance, influence product roadmap, manage content strategies, classify data, and collaborate with engineering on AI and ML initiatives.

Seeking a leader for the MLIR team at Netflix to drive machine learning innovations, collaborate with various teams, and enhance organizational capabilities.

Lead and inspire a team of Machine Learning Scientists and Data Scientists at Netflix, focusing on the ads business and media planning. Enhance partnerships, drive success through collaborative projects, and ensure high-quality outputs that align with business goals.

As an Associate Engineer in Data Science, you will leverage data analysis and machine learning to solve complex problems and develop inspiring digital products.

The Sr. Manager of Data Science and Analytics will oversee a team, guiding efforts in data analysis for payments and compliance, ensuring impactful outputs, and fostering team growth.

Manage a team of data analysts and scientists, focusing on analytics for payments and compliance. Ensure impactful data work and drive business decisions.

Manage a team of data analysts and scientists focused on Circle's payments products and compliance efforts, ensuring data quality, impactful reporting, and cross-functional collaboration.

Manage data analysts and data scientists for payments and compliance. Guide, improve team work, and collaborate with cross-functional partners.

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.

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.

As Director of Data and Science, lead healthcare analytics strategies using epidemiology and biostatistics to enhance patient care and innovation. Manage a team and collaborate with life science partners to design studies that reveal insights for improved health outcomes.

Lead the design and implementation of advanced ML-based analytics for cybersecurity operations. Oversee data pipeline development and integrate analytics into SIEM platforms while ensuring scalability, performance, and security.

Lead a data science team to enhance Netflix's streaming product through analytics and experimentation, partnering with engineering.

Lead a data science team to drive consumer acquisition strategies and improve Netflix's signup processes through analytics, experimentation, and machine learning.

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 deploy data processing pipelines, analyze data to extract insights, and develop software systems for data management and privacy.

As a Data Science Intern, you'll learn to translate business challenges into statistical problems, analyze large datasets, build machine learning models, and communicate insights effectively.

Lead a team of data scientists to drive user growth through insights and strategic initiatives, collaborating with cross-functional partners.