Lead Data Scientist

Lead Data Scientist

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Job Description

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OVERVIEW

CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces.  Included in the S&P 500 Index and the NASDAQ 100, CoStar Group is on a mission to digitize the world’s real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives.  
 
We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our Clients.  We’ve continually refined, transformed and perfected our approach to our business, creating a language that has become standard in our industry, for our Clients, and even our competitors.  We continue that effort today and are always working to improve and drive innovation.  This is how we deliver for our Clients, our employees, and investors.  By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate.  

ABOUT THE ROLE

We are seeking a highly skilled and results-driven Lead Data Scientist to build enhancements to our data quality and research processes. The successful candidate will have a strong background in machine learning, data analytics, 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.

This is a full-time in-office position that will be based in our Richmond, VA office.

RESPONSIBILITIES

• Develop, train, and evaluate machine learning models that support CoStar Research’s goals and enhance data quality

• 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

• Present findings and insights to technical and non-technical stakeholders

• Monitor model performance and proactively retrain or refine as necessary

BASIC QUALIFICATIONS

• Bachelor’s degree in computer science, data analytics, statistics, machine learning, or related field

• 5+ years of relevant experience in years of experience in data analysis, machine learning, model performance, statistical modeling, and data preparation

• Strong understanding of machine learning and statistical modeling techniques, including supervised and unsupervised methods

• Proficiency in Python and key ML/data libraries, as well as familiarity with emerging artificial intelligence tools

• Experience working with large and complex datasets, ideally involving commercial real estate data

• Familiarity with model evaluation metrics, validation strategies, and performance tuning techniques

• Comfortable collaborating in cross-functional teams and communicating technical concepts clearly to non-technical audiences

WHAT’S IN IT FOR YOU:

When you join CoStar Group, you’ll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed. 

We offer you generous compensation and performance-based incentives. CoStar Group also invests in your professional and academic growth with internal training, tuition reimbursement, and an inter-office exchange program. 

Our benefits package includes (but is not limited to): 

• Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug 

• Life, legal, and supplementary insurance 

• Virtual and in person mental health counseling services for individuals and family 

• Commuter and parking benefits 

• 401(K) retirement plan with matching contributions 

• Employee stock purchase plan 

• Paid time off 

• Tuition reimbursement 

• On-site fitness center and/or reimburse