Senior Economist

Key Skills

Amazon RedShift, Amazon Simple Storage Service (S3), Apache Airflow, Apache Hive, Data Biuld Tool - dbt, Data science techniques, Econometrics, Effective communication skills, ETL frameworks, Google BigQuery, Pandas, Presentation skills, Python Programming, R Programming, Snowflake, SPARK Programming, SQL

Job Description

Are you an expert researcher? Are you looking to do data driven storytelling? If you want to pursue your professional goals as you help grow an innovative real estate tech company, this work is for you. Join us as our newest Senior Economist and help change the world of real estate, one home at a time.

Realtor.com is seeking a Senior Economist on the Economics Research team with expertise in data-driven storytelling to a variety of audiences, strong analytic instincts, and skills to build models from large data. The purpose of this role will be to deliver insights to the team and its public and internal stakeholders derived from analyzing housing, economic, and consumer data. The role will report to the Chief Economist.

What you’ll do:

• Work with other members of the Economics team and other data teams to extract key trends impacting residential real estate, blending Realtor.com’s proprietary data with relevant data from industry, government, and partners.
• Collaborate with internal communication and research teams and partners on topical research projects to foster Realtor.com’s share of voice. This includes data analysis, report authorship, and interviews for print, online and broadcast media.
• Serve as an expert company spokesperson to media and to industry stakeholders on specific research studies, market statistics, and Realtor.com’s point of view on the latest housing market & economic trends
• Contribute to the roadmap for innovative economic insights and data products, publish unique content on Realtor.com , including regular and ad-hoc reporting, and drive ideas for future analyses.
• Build econometric models to help explain and predict housing market conditions, including time-series, causality and machine learning methods.
• Collaborate with analysts, researchers and engineers to construct and automate economic data series, proprietary indices, and other market insights.
• Extract data, conduct complex analyses, and communicate results such that they can be easily understood by key audiences with varying degrees of housing market knowledge; audiences include: internal decision makers, home buyers, home sellers, real estate professionals, and the media.
• Lead short-fused research projects and deliver results under tight constraints.

What you’ll bring:

• Degree in statistics, economics, computer science or a related area. Masters/PhD or similar degree candidates or recent grads preferred.

• 5+ years of hands-on experience in applied data science and/or economic research (real estate or housing experience preferred).

• Strong communication skills, both written and verbal including:
• Strong media presence including live television and audio and large group presentation skills to both industry and consumer audiences, with interest in further developing these skills
• Ability to convey difficult subjects and ideas in sound bites that the average layperson can understand and attract media attention

• Excellent research and analytic skills to support inferential and causal market analysis and forecasting.

• Coding ability and intimacy with the data science toolkit in an applied context (R, Python, Pandas, NumPy, SQL).
• Deep understanding of time series modeling and related statistical techniques (e.g. ARIMA, exponential smoothing, time series regression methods etc.)
• Experience with cloud and big data technologies to extract and analyze data (Snowflake, S3, Redshift, Athena, Hive, BigQuery, Spark, etc).
• Experience building ETL pipelines (e.g. Airflow, DBT) and productionalizing models a strong plus.
• Familiarity with housing and economic datasets a strong plus (i.e. demographic data such as Census, Claritas and economic time series data such as provided by Moody’s Analytics and micro data such as IPUMS and other loan-level mortgage databases).
• Proven track record analyzing large amounts of data and crafting data-driven stories
• Strong collaborator with the ability to work independently and cross-functionally

At Realtor, we recognize that attracting the best talent is key to our strategy and success as a company. As a result, we aim for flexibility in structuring competitive compensation offers to ensure we are able to attract the best candidates.

The quoted salary range represents our good faith estimate as to what our ideal candidates are likely to expect in the listed locations. We tailor our offers based on the selected candidate’s experience, industry knowledge, technical and communication skills, location and other factors that may prove relevant during the interview process. All ranges are location based, ranges for positions in other locations may vary based on the local market.

Salary Range for select office locations

• New York $135,100 to $196,100

Pay-for-performance is a key element in our strategy to attract, engage, and motivate talented people to do their best work. Accordingly, offers extended for this role will include an annual bonus target typically expressed as percentage of salary. Similarly to salary, annual incentive bonus targets are set based on a variety of factors including job level, competitive market practice, experience, tenure, and essential skills.

In addition to cash compensation, the company provides a comprehensive and highly competitive benefits package, with a variety of physical health, retirement and savings, caregiving, emotional wellbeing, and other benefits, including “elective” benefits employees may select to best fit the needs and personal situations of our diverse workforce.