Top Data Science Jobs in Atlanta, GA

As a Senior Data Visualization Engineer, you will create data visualizations, collaborate with teams to build reporting solutions, and translate business goals into actionable insights.

Lead a data science team in developing machine learning models for credit risk management, driving business outcomes and team growth.

Lead projects in machine learning, develop statistical algorithms, collaborate across teams, mentor juniors, and conduct research on healthcare datasets.

As a Data Scientist, you will leverage data to improve client experiences, design metrics, build data pipelines, and collaborate with teams on data-informed decision-making.

The Director of Data Science leads analytics projects, turning complex data into actionable marketing strategies, and mentors junior staff. They oversee client analytics and measurement frameworks while ensuring high-quality standards across analytics initiatives.

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

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

The Director of Data Science leads the team to build marketing measurement tools and data products while partnering closely with Engineering and Product teams. Responsibilities include managing technical execution, hiring talent, and establishing validation processes for data models.

Manage a team of data scientists and analysts designing ML solutions for risk assessment, enhancing operational readiness, and ensuring reliability of data sources.

Lead a Data Science team in fintech, focusing on advanced ML development, team management, and optimizing processes for data-driven solutions.

Lead the Rentals Data Science team to drive insights across the rental transaction journey, mentor members, and shape data strategy.

As a Staff Data Scientist, you will design and deploy machine learning models, analyze data, and collaborate with teams to deliver AI business solutions.

The Sr Staff Data Scientist will lead teams to solve statistical and AI problems, develop machine learning models, and collaborate with various stakeholders in a cloud environment.

As Manager of Data Science, you will lead a team creating statistical evaluations, guiding annotations, and developing metrics for agent performance in healthcare-related projects.

Lead the data science and AI function at Global Payments, defining strategy, building teams, and driving business value through AI solutions.

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.

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

As a Senior Data Scientist, you will lead data-driven insights to drive product strategy, mentor junior data scientists, and engage stakeholders to align goals and improve decision making.

The Senior Director of Data Science leads innovative data projects, oversees a team, and ensures best practices in ML/AI to drive business insights across GE HealthCare.

As a Presales Data Science Architect, you will engage with clients to propose data solutions using AWS Cloud, develop architectures, and support sales efforts, while acting as a technical advocate.

The Director of Data Science, Operations will lead a data science team, innovate machine learning models, and improve financial operations for the company.

Lead the Data Science and Analytics team to optimize vehicle supply, enhance rider experience, and improve operational efficiency through machine learning and data analysis. Oversee A/B testing and promote a data-driven culture while mentoring team members.

Oversee model development and management focusing on fraud and risk. Collaborate cross-functionally to enhance client product performance through data analysis and model governance.

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

Lead and mentor a team of data scientists to develop deep learning models for fraud detection and risk assessment, ensuring best practices in AI solutions.