Top Data Science Jobs in Atlanta, GA

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

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.

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.

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

The Applied Data Scientist will ensure data quality through cleaning and validating datasets, participate in the modeling lifecycle, collaborate cross-functionally, and document data processes.

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

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.

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 leads development of Data Science and Machine Learning solutions in industrial operations, mentoring teams, and translating complex challenges into practical models that enhance reliability and efficiency.

Lead development of machine learning models for real-time content ranking, translating business objectives into effective ML solutions while managing experiments and data pipelines.

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

The Epidemiology Data Scientist will lead health data analyses, develop machine learning models, create data pipelines, and collaborate with public health experts.

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.

The Data Scientist will develop predictive models and AI solutions for legal services, collaborate with stakeholders, and ensure compliance with AI governance.

The Senior Data Scientist at Coinbase will analyze ambiguous problems, own core metrics, and drive data science projects, impacting business decisions.

Seeking a Senior Data Scientist to leverage AI and machine learning in healthcare datasets. Responsibilities include developing algorithms, leading projects, and mentoring juniors while collaborating with technical and business teams.

The Data Scientist will leverage machine learning to conduct analyses that support business initiatives, drive user acquisition, and optimize processes. Collaborate across teams to enhance data-driven decision making, A/B test new features, and streamline 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.

As a Data Scientist/Machine Learning Engineer, you'll finetune models, improve data quality, add new signals, and push solutions to production.

The Data Scientist will analyze complex datasets, ensuring data correctness while developing insights and automation for investment management.

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.