Data Scientist Jobs in Georgia, United States

Catastrophe Engineering and Analytics (CAT E&A) team at Berkshire Hathaway Specialty Insurance builds advanced risk models for natural and man‑made catastrophes. The Data Scientist develops and applies machine learning, AI, and statistical techniques to large claims, hazard, and geospatial datasets to improve underwriting decisions.

Catastrophe Engineering and Analytics (CAT E&A) team at Berkshire Hathaway Specialty Insurance builds advanced risk models for natural and man‑made catastrophes. The Data Scientist applies machine‑learning, statistical and probabilistic techniques to large claims, hazard and geospatial datasets, developing predictive models and tools that inform underwriting decisions.

Supply Chain Analytics team at Home Depot drives profitability and customer experience through advanced data science solutions. The Senior Data Scientist leads algorithm design, model development, and project execution while mentoring junior scientists and collaborating with product managers and business partners.

Delivery Data Science team at Home Depot drives profitability and customer experience through advanced analytics. The Data Scientist designs and develops algorithms, leads analytics projects, and builds a reusable library of models while translating insights for non‑technical stakeholders.

Data Science team at 4P Consulting Inc. advances data-driven insights using scientific methods and advanced analytics. The role conducts data wrangling, analysis, exploration, builds machine learning and statistical models, and creates visualizations.

Swift is a mission-driven services and solutions company supporting Civilian, Defense, and Intelligence Community customers. The Data Scientist role in Augusta, GA, extracts insights from large, complex datasets to support mission needs by applying mathematical, statistical, and computational expertise to analyze data, develop models, and communicate actionable findings.

Auto Insurance Rating Analytics team at LexisNexis Risk Solutions builds advanced analytics models for auto insurance pricing and risk assessment. The Senior Data Scientist I leads model development, data integration, and insight generation using statistical and machine learning techniques, while mentoring junior staff.

Data Scientist role at Waystar focuses on leveraging large, diverse data sets to drive actionable insights for healthcare payment solutions. The position involves designing, developing, and programming analytical methods, building automated data pipelines, and creating predictive models that enhance product features and business decisions.

Revenue Analytics builds SaaS solutions for hospitality revenue management, turning advanced analytics into practical product capabilities for hotel operators. As a Data Scientist you will develop machine learning and AI systems for pricing, forecasting, and revenue management, writing clean Python and SQL to operationalize data pipelines and models.

Product Data Scientist at The Weather Company will partner with Product, Engineering, and Design teams to translate complex product questions into analytical frameworks, build models, run experiments, and deliver insights that shape strategy and roadmap priorities. The role involves developing and maintaining dashboards, establishing success metrics, driving innovation through hypothesis testing, and setting best practices for experimentation.

TriNet Group seeks a Senior Data Scientist to deliver data science solutions across cross-functional teams supporting the HR solutions roadmap for small to midsize businesses. Day-to-day work includes designing, developing, validating, and deploying statistical models and machine learning solutions, performing exploratory analysis and feature engineering, and translating business requirements into actionable insights for product and business managers.

Data Science Team at Home Depot supports business profitability, efficiency and customer experience through advanced analytics. The Associate Data Scientist designs and develops algorithms and models on large datasets, collaborates with senior data scientists to translate insights into actionable recommendations, and continuously learns emerging methodologies.

Insurance Analytics team at LexisNexis Risk Solutions builds data-driven insurance risk solutions. The Data Scientist I will assist with data cleaning, model development, visualization, and client communication while rotating through analytical product assignments.

At AIG, join a new Generative AI team to build enterprise-level LLM solutions in insurance. Lead end-to-end development, monitor production, collaborate cross‑functionally, evaluate LLM efficacy, and design scalable ML pipelines and RAG frameworks.

Home Depot Data Science team drives business profitability and customer experience through advanced analytics. As an Associate Data Scientist you will design and develop algorithms and models on large datasets, conduct analysis to solve business problems, and communicate insights to both technical and non‑technical audiences.

Insurance Analytics team at LexisNexis Risk Solutions builds data-driven insurance risk solutions. As a Data Scientist I in the Data Science Accelerator Program you will clean and prepare large datasets, apply statistical and machine learning techniques, and create visualizations to support predictive models.

4P Consulting's Data Science team transforms organizational data into actionable insights and predictive models. The Data Scientist designs, builds, and deploys machine learning solutions, creates visualizations, and mentors junior analysts.

Data Science team at 4P Consulting Inc. builds data-driven solutions across finance, healthcare, and technology. The Data Scientist designs and implements machine learning models, conducts exploratory analysis, and creates visualizations to inform stakeholders.

Advanced Analytics Team at 4P Consulting drives AI exploration and implementation across the business. The Data Scientist identifies AI use cases, designs and builds machine learning solutions, and leads end‑to‑end model development to improve customer experience and operational efficiency.

As a Principal Data Scientist - FDE at Microsoft, you will oversee acquisition of the data sets necessary for your project delivery and ensure data is properly formatted and described. You will address any gaps in current data sets, drive ethics and privacy discussions around data collection and preparation, and evaluate your team's models using metrics tied to genuine business outcomes.