Top Data Science Jobs in Atlanta, GA

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.

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.

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

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 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 analyze data to drive strategic business decisions, partner with teams for insights, and optimize acquisition strategies. You'll leverage ML models to influence business growth as part of the data science team.

As an Applied Data Scientist, you will own the modeling lifecycle, ensure data quality, collaborate cross-functionally, and document processes. Your focus will be on transforming raw data into high-quality features, driving accurate data analysis, and addressing data discrepancies.

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

Lead the development of a data science practice at TRIMEDX, focusing on AI and machine learning to optimize clinical asset utilization and reduce operational costs. Oversee AI roadmap, advanced data modeling, and support commercialization of market solutions through data-driven insights.

Lead AI-driven insights and predictive analytics for enterprise business applications through data manipulation and visualization, enhancing revenue forecasting and automation.

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 data science initiatives focusing on healthcare fraud, waste, and abuse. Perform detection analysis, assess trends, and present findings to support decision-making.

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

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

The Senior Data Scientist will provide data-driven insights, build analytical models, and collaborate with stakeholders to enhance decision-making and operational efficiency.

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

Seeking a Data Scientist to build data solutions using deep learning and statistical tools, collaborating with product teams and clients to extract insights from marketing data.

The Data Scientist will analyze large datasets, support data validation, collaborate on feature engineering, and assist in predictive modeling to improve forecasts.

As a Customer Analytics Data Scientist, you will analyze data for fraud prevention, present results, collaborate with various teams, and support customer success efforts.

The role involves executing SEO analysis and testing, managing experiments, translating results into recommendations, and monitoring performance metrics for clients.

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.