Top Data Science Jobs in Atlanta, GA

The Staff Data Scientist will analyze user behavior, lead experiments, create dashboards, and collaborate with cross-functional teams to drive product improvements and business growth.

As an R&D Intern, you'll work on developing solutions in revenue science, focusing on data preparation, analysis, and solution design, while collaborating with experts in machine learning.

This role involves analyzing blockchain data, mentoring a team, building models, and collaborating with blockchain researchers to enhance product development and security.

The Data Scientist will develop and deploy scalable ML models utilizing NLP to enhance security solutions, collaborating with cross-functional teams.

The Data Scientist II role involves analyzing healthcare data, developing models, and delivering insights to support decision-making in a dynamic organization, while leveraging advanced technologies like LLMs and data visualization tools.

The Senior Data Scientist will optimize product performance, drive product innovation through data-driven insights, and foster a culture of data-driven decision-making across teams.

As a Senior Staff Data Scientist, you'll define data strategy, mentor team members, advance experimentation practices, and collaborate with various teams to enhance product and business metrics.

The Data Scientist will analyze data, develop models, collaborate across teams, and support strategic projects to drive insights and growth.

The role involves analyzing products, designing experiments, and developing key metrics to inform product decisions and improvements. It requires collaboration with various teams.

The role involves managing AI/GenAI solution development, analyzing client needs, mentoring team members, and overseeing project execution.

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.

Lead the design and development of personalization models, applying advanced AI/ML methods to enhance member experiences and collaborating with cross-functional teams.

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 Data Scientist manages and analyzes data, develops predictive systems, collaborates with teams to create analytics tools, and supports clients' mission-critical needs through statistical analyses and data manipulation.

As a Staff Data Scientist, lead high-impact data science projects, mentor team members, and innovate using AI and machine learning. Collaborate across teams to enhance products and deliver insights.

Leverage data science to derive insights from complex datasets, collaborate across departments, and support predictive modeling efforts.

The Data Scientist will develop mathematical models, collaborate with software engineers, and analyze solutions' impacts on supply chain growth.

As a Staff Product Data Scientist, you will analyze product usage, define metrics, derive insights, and influence product strategy and decision-making.

Lead the development of predictive modeling and supply chain analytics, focusing on ETA prediction for transportation logistics using advanced analytics and machine learning techniques.

The Staff Data Scientist will lead projects to drive insights, define business metrics, advance experimentation, and collaborate with various teams to enhance user experience and product performance.

As a Data Scientist, you will leverage data to improve client experiences by designing metrics, running experiments, and creating data models. You'll support cross-functional teams in decision-making while crafting the company's data science culture.

The Business Intelligence Engineering Manager will lead an analytics team, drive insights, manage operations, and optimize data models while collaborating across departments and ensuring data quality and governance.

The Data Scientist role focuses on analyzing customer data to translate insights into compelling ROI narratives, support automation of analytical workflows, and contribute to product intelligence by aggregating market trends.

Lead AI-driven insights and predictive analytics for enterprise business applications, focusing on optimizing processes like Quote-to-Cash and customer retention through data analysis and machine learning.

As a Staff Data Scientist in AI Products, you will drive AI/ML capabilities, influence product strategy, and collaborate with various teams to enhance data foundations.