Location: This position may be located in our Chicago or D.C. office

Position Summary:
NAR’s Research Group is looking for a Data Scientist to join their team. The Data Scientist is responsible for translating data into clear and actionable insights. The incumbent in this role should be driven by an innate desire to learn, and uncover unique solutions to complex business problems. The ideal candidate will have an interest in working cross-functionally on a wide variety of business problems, including but not limited to those within the technology, marketing and communications, political advocacy, and housing economics domains. This candidate will also have the ability to break down complex technical concepts in simple terms, and go beyond presenting statistics by stitching together a comprehensive and compelling story that helps strengthen insight-driven decision-making. In this role, the Data Scientist will also have autonomy to collaborate with every individual and team in the organization and be directly connected to decision makers without bureaucracy.

Duties and Responsibilities:

• Assist in the scoping and development of new analytical initiatives
• Collect, connect, and preprocess relevant structured and unstructured data from disparate sources, including internal databases, open data platforms, and third-party providers
• Perform exploratory data analysis (EDA), generate and test working hypotheses, and uncover interesting trends and relationships in membership data, particularly in the context of increasingly difficult open-ended questions
• Develop statistical analyses and build machine learning models that help explain and predict trends along dimensions of membership growth, retention, and engagement
• Design and integrate visualizations in comprehensive dashboards that enable key stakeholders to monitor and react to important membership trends
• Stitch together a comprehensive and compelling story that helps describe analytical results and strengthen insight-driven decision-making
• Support ad hoc analytical requests from colleagues in the group

• Bachelor's degree in Computer Science, Economics, Statistics or a related field
• 1-2 years of experience (internships accepted) as a Data Analyst, Data Scientist, or another analytical-oriented position is required
• Knowledge of supervised and unsupervised machine learning methods is required
• Basic knowledge of R and/or Python is required
• Familiarity with traditional structured databases like Oracle and SQL Server is required
• Familiarity with schemaless database systems like MongoDB and Elasticsearch is required
• Familiarity with software engineering best practices, data engineering, and ETL is a plus
• Exposure to visualization tools like d3.js, nvd3.js or another reusable chart library is a plus
• Passion for solving problems using open source technology is a plus
• Good communication skills, as well as an interest in working within a team environment

The National Association of REALTORS® (NAR) is a team of professionals dedicated to providing world-class service to over 1 million REALTORS® working in the United States and around the world. The real estate industry is fast-paced and fast-changing--each year, our members participate in the sale, lease, and management of billions of dollars in real estate. As in every industry, our members’ value proposition is constantly being challenged by innovation.

It is our mission to help REALTORS® navigate that change and thrive in their careers. We cannot do that without the ideas, passion, and commitment from our talented employees. As our greatest assets, employees are offered their pick of competitive benefits/perks and flexible work options. Our most successful employees are committed to our Core Values, which are: