Top Data Science Jobs in Atlanta, GA

The Data Scientist III/Sr/Principal role focuses on leading complex analytics initiatives, developing analytical solutions, and enforcing coding standards within the business intelligence team, utilizing SQL, Python, and R.

The role involves building end-to-end modeling pipelines, developing models, delivering insights to stakeholders, and collaborating with a technical team in a fast-paced environment.

The Lead Data Scientist will analyze data, develop machine learning models, collaborate with teams on AI solutions, and mentor junior analysts.

The role involves managing data to uncover insights, developing predictive models, and bridging clients with data intelligence within the context of evolving market research methodologies.

As a Data Scientist, you'll design statistical models, implement ML lifecycles, explore AI techniques, visualize data, and communicate insights.

Lead the development of scalable Generative AI pipelines, collaborate across teams, and optimize machine learning workflows in a remote setting.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

The Data Scientist will develop machine learning models to optimize software build processes, analyzing large datasets and collaborating with teams for improvements.

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.