Top Data Science Jobs in Atlanta, GA

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.

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 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 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.

As a Data Scientist, you will develop and deploy machine learning models, work collaboratively in teams, and utilize statistical analysis on large datasets.

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

Develop custom models and algorithms for large datasets, collaborate with stakeholders to leverage data for business decisions, and assess data sources and techniques.

The Data Scientist will drive data-driven decisions, conduct A/B experiments, partner with teams for user acquisition strategies, and automate processes to enhance efficiency.

Seeking an Applied Data Scientist to clean, transform, and analyze data, build machine learning models, and ensure data quality while collaborating with cross-functional teams.

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.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

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 role involves leading data science initiatives to drive business outcomes, mentoring junior scientists, performing analyses for decision-making, and using advanced technologies for optimization and causal analyses.