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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** CoStar Realty Information Inc. - **Location:** Richmond, VA, United States - **Experience:** Experienced - **Salary:** $71,400.0 - $115,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, Big Data, Data Cleansing, Python (Programming Language), Machine Learning, Performance Tuning, Strategies of Testing, Pytorch, Model Validation, Information Technology, Data Analytics - **Published:** August 10, 2026 - **Apply:** https://costar.wd1.myworkdayjobs.com/CoStarCareers/job/US-VA-Richmond---CoStar-Tower/Data-Scientist_R39539 ## About the Role We are seeking a Data Scientist to build enhancements to our data quality and research processes. The successful candidate will have a strong background in machine learning, artificial intelligence, and statistical modeling, with a proven ability to develop new models, optimize existing processes, and deliver business impact through data-driven solutions. Familiarity with commercial real estate concepts and datasets is preferred, though a demonstrated ability to learn complex domains quickly is valued. This individual will play a key role, working closely with product, engineering, and research leadership teams to improve our data quality and completeness., * Bachelor's degree in computer science, data analytics, statistics, machine learning, or related field * 2+ years of relevant experience in machine learning, artificial intelligence, model performance, statistical modeling, and data preparation * Understanding of machine learning and statistical modeling techniques, including supervised and unsupervised methods * Familiarity with model evaluation metrics, validation strategies, and performance tuning techniques * Proficiency in Python and key ML/data libraries such as PyTorch * Experience working with large and complex datasets * Comfortable collaborating in cross-functional teams and communicating technical concepts clearly to non-technical audiences Preferred Qualifications: * Experience incorporating one or more Large Language Model into a business process or application * Working experience with AWS or other major cloud providers * Familiarity with commercial real estate data or concepts * Experience working with computer vision or multi-modal models ## Description * Develop and evaluate machine learning models that support CoStar Research's goals and enhance data quality * Leverage frontier artificial intelligence models, potentially including computer vision and multi-modal approaches, to improve the quality and timeliness of key business processes and workflows * Conduct rigorous experimentation and model validation to ensure accuracy, robustness, and fairness * Collaborate with research leaders, product teams, and engineers to understand requirements and translate them into data-driven solutions * Demonstrate output in the form of deployed demos or professional quality visualizations for both technical and non-technical audiences * Monitor model performance and proactively retrain or refine as necessary ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [RPA in the Public Sector](https://www.wearedevelopers.com/videos/86-rpa-in-the-public-sector) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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