Top Data Science Jobs in Atlanta, GA

The Data Scientist II transforms data into insights, designs data modeling processes, uses AI and ML techniques, and collaborates with teams to solve business challenges.

As a Senior Data Scientist at Gradient AI, you'll design predictive models for insurance underwriting, analyze large datasets, and collaborate with cross-functional teams.

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 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 Data Scientist will analyze user behavior data, design experiments, create dashboards, and provide insights to drive business growth and optimize products.

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

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

The Staff Data Scientist will develop complex models for underwriting and operations, guiding technical strategy and mentoring junior analysts while collaborating across teams.

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.

Data Scientists will analyze user data, design experiments, and build predictive models to enhance digital products and influence strategy.

The Senior Data Scientist will develop machine learning models, monitor their performance, present findings to executives, and collaborate with engineering teams.

Assist in statistical analyses and automated workflows for health and life sciences projects, emphasizing foundational biostatistics and new technologies.

The Data Scientist will build analytics infrastructure, conduct analysis and modeling, and collaborate with teams to enhance data impact and insights. Responsibilities include exploratory analysis, model building, and maintaining datasets for student success and operational efficiency.

As a Data Scientist, you will leverage advanced machine learning models to inform business strategies, support user acquisition, and automate processes, while collaborating across teams.

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

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 Staff Data Scientist will analyze data to drive business growth at Slack, develop forecasting models, and support decision-making through insights.

Principal Data Scientist role focuses on developing predictive models for underwriting in healthcare using advanced machine learning techniques and large datasets. Collaborate across teams to drive data-driven solutions and stay updated on industry trends.

Design and implement predictive models using machine learning for underwriting and patient care. Analyze healthcare data to inform strategies and collaborate with cross-functional teams.

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.

The Senior Data Scientist will influence product roadmaps, drive AI/ML capabilities, and perform deep-dive analysis to shape data-informed strategies.

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

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 Senior Data Analyst will analyze data in Supply Chain and Manufacturing to drive recommendations, develop production management systems, and mentor junior analysts.

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.