Top Data Science Jobs in Atlanta, GA

The role involves deploying data science solutions in cybersecurity, collaborating with customers and teams to operationalize models and enhance security insights.

As a Data Scientist at Nextdoor, you will design experiments and conduct analyses to drive product strategies while collaborating with cross-functional teams.

The Data Scientist will design data solutions, analyze datasets, and collaborate with engineers using GCP and various tools to enhance data-driven decision-making.

As a Data Scientist - AI Engineer, you will apply machine learning and AI to analyze revenue data, forecast trends, and enhance sales strategies, directly influencing business decisions.

Lead enterprise AI initiatives from problem definition through production deployment and monitoring. Evaluate buy vs. build, design ML/LLM solutions, partner with business and engineering, enforce MLOps and governance, and communicate results to leadership.

Lead the architecture, development, and delivery of generative AI solutions. Collaborate across teams to translate requirements, monitor performance, and build scalable ML pipelines.

Lead development and deployment of NLP and transformer-based models for financial surveillance. Analyze large unstructured datasets, guide model governance and explainability, mentor junior data scientists, handle data annotation/EDA, and collaborate with product, engineering, and business stakeholders to operationalize ML solutions for compliance.

Join a technology company to solve complex challenges in digital advertising measurement using data analysis, causal inference, and machine learning. Collaborate with clients and create insights from retail transaction data.

The Data Scientist will analyze data for risk and trading in Daily Fantasy Sports, develop predictive models, and monitor real-time data.

The Staff Data Scientist will develop and enhance marketing intelligence products, manage data science models, optimize algorithms, and collaborate across teams to translate technical methodologies into business solutions.

The Senior Data Scientist will architect AI-driven fraud and risk solutions, leveraging ML, Deep Learning, and statistical analysis to detect complex threats in financial transactions.

Seeking an experienced Data Scientist to develop forecasting models, collaborate with business partners, and lead end-to-end model development using PySpark, Databricks, and Azure.

Develop and implement fraud detection models using machine learning techniques, analyze data for patterns, and optimize existing models for risk management.

Develop and implement fraud detection models using machine learning. Collaborate with teams and analyze data to enhance fraud prevention strategies.

The Product Analytics Data Scientist will enhance algorithms based on customer needs, optimize grocery orders, and support data use for improved ordering performance.

Lead advanced data science efforts for entity resolution and graph evaluation. Collaborate on optimization, establish data quality metrics, and drive innovation in identity solutions.

The Senior Data Scientist will develop machine learning models and data-driven solutions, mentor junior scientists, and drive strategy within the Advanced Data & Analytics team.

As a Senior Data Scientist, you will design and maintain metrics and analyses, develop predictive models, conduct experiments, and collaborate with internal and external teams to enhance data-driven decision-making.

The Lead ML Ops Data Scientist will design scalable MLOps systems, mentor data scientists, and develop models for rental matching and personalization.

As a Data Scientist II, you'll design and implement advanced deep learning models for fraud detection and risk management while collaborating across teams and managing projects autonomously.

The Staff Data Scientist will design and optimize deep learning models for fraud detection, mentor peers, and lead data science initiatives.

Join the Core Data Science team to ensure statistical rigor in product development. Collaborate across teams to enhance data-driven decisions and contribute technically.

Lead the development of appraisal and pricing capabilities using data science to automate valuation decisions. Collaborate across teams for insights into pricing and operational strategies.

The Staff Data Scientist will develop machine learning models, collaborate with cross-functional teams, and use analytics to drive business growth and improve credit risk assessment.

Develop and tune ML models, productionize and deploy strategies for ML systems, and align cross-functionally to communicate performance metrics.