Top Data Science Jobs in Atlanta, GA

The role involves leading AI and GenAI solution development, managing analytics teams, and driving business growth through strategic direction and client engagement.

The Senior Manager oversees AI and GenAI data science teams, driving complex analytics projects, coaching teams, and ensuring high-quality solutions. Responsibilities include managing GenAI development, collaborating with clients, presenting findings, and leading business development activities.

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.

The Data Scientist will analyze user behavior, create segmentation strategies, design experiments, and track business metrics to drive growth in a SaaS company.

Lead, mentor and grow a data science team, partner with product leaders, and guide data-informed decision-making for product strategy and performance.

The Data Scientist supports revenue management by building and improving models for demand forecasting, pricing performance analysis, and identifying revenue opportunities while working with messy data and communicating insights clearly.

The Senior Data Scientist will optimize HVACR system performance using machine learning, develop data solutions, and work collaboratively across teams to enhance technical applications.

As a Data Scientist at AIG, you will develop and deliver Generative AI solutions, focusing on Large Language Models and Machine Learning in an agile environment, collaborating with cross-functional teams and overseeing production quality.

Lead product-facing data science by defining metrics, building models and experiments, and delivering insights to influence product strategy. Drive experimentation best practices, mentor junior scientists, guide technical design and validation, and collaborate with Product, Engineering, and Design to operationalize ML solutions.

As a Data Scientist, you will develop algorithms, collaborate on product requirements, and communicate data-driven insights, while enhancing product offerings and delivering actionable insights.

As a Data Analyst at Circle, you'll analyze payments data, create visualizations, develop dashboards, and support decision-making with insights. You'll partner with business teams to identify opportunities for enhancement and communicate findings effectively to stakeholders.

The Data Scientist will design and implement models for predictive analytics, collaborate with stakeholders, and communicate insights, enhancing decision-making processes within the company.

As a Senior Data Scientist, you will collaborate with cross-functional teams to drive AI/ML product development, analyze user data, and influence product strategies.

Lead development of a greenfield data product by partnering with customers and product teams to build analytics and models (simulation, Bayesian networks, optimization, ML). Maintain existing analytics, improve predictive churn models, and translate customer needs into production-grade SQL/dbt pipelines, dashboards, and data-driven product features.

The Data Scientist will lead quantitative research projects, manage datasets, mentor junior analysts, and translate findings into actionable insights for clients.

The Data Scientist at GenLogs will build machine-learning systems, analyze large datasets, and collaborate with engineering and product teams to deliver advanced logistics intelligence solutions.

The Data Scientist will build and operate models to improve logistics operations, focus on driver behavior, and analyze data for better delivery efficiency.

The Applied Data Scientist III will develop scalable AI solutions, analyze data, and translate technical concepts for stakeholders while advocating for AI adoption.

The Data Scientist II will work with sports tracking data to build models and analyses for NHL and NBA organizations, focusing on data transformation and metrics development.

The Lead Risk Analytics Data Scientist will develop risk pricing, design data models, automate workflows, and communicate insights to leadership. Responsibilities include owning the risk narrative, building analytics foundations, and utilizing AI to enhance efficiency.

The Data Scientist at Georgia Power will analyze data, build relationships with internal clients, develop machine learning models, and provide insights to improve customer experience and operational efficiencies.

As the Staff Data Scientist, you will lead the data science function, driving strategy, mentoring peers, and shaping product direction through advanced analytics and experimentation.

The Data Scientist will work with the team to build and optimize models, interpret data, and support product development using massive data sets for advertising effectiveness.

Lead the development of outfit completion models by combining client preferences and machine learning to improve personalized recommendations at Stitch Fix.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.