Modeler

NYC Department of Finance (DOF) is responsible for administering the tax revenue laws of the city fairly efficiently and transparently to instill public confidence and encourage compliance while providing exceptional customer service.

Property Valuation and Tax Mapping is responsible for valuing more than one million properties in the city and overseeing assessments and valuations in a fair and equitable manner. The valuations enable the efficient and effective collection of property tax revenues for New York City.

The Property Division at DOF seeks an individual with strong statistical and GIS analytical skills to serve as Data Scientist in the Divisions Property Modeling and Research Group. The research group is responsible for the mass appraisal of New York Citys residential and commercial real estate. The selected candidate will assist with the development of computer programs and data models provide support to other modelers and work closely with management.

Duties will include but not limited to:

Manage and manipulate large datasets in various formats performing data cleaning and quality assessments to ensure accuracy and consistency. Critically analyze results to support multiple projects.
Conduct indepth research and analysis of propertyrelated data including sales costs market trends economic conditions and other factors affecting property values using statistical analysis and econometric modeling techniques.
Perform spatial analysis to evaluate the impact of location on property values.
Develop test and implement models to estimate property values across diverse property types.
Support business functions by providing adhoc data summaries through tables graphs trends charts and maps to convey insights.
Design and develop property valuation dashboards applications and tools for both internal and public use.

Qualifications :

Level I

1. A masters degree from an accredited college or university in social science economics statistics computer science data analysis geography sciences technology engineering mathematics (STEM) or a closely related field with at least 12 credits or five courses in economics public policy econometrics statistics mathematics engineering geography or computer science.

2. A baccalaureate degree from an accredited college or university as described in 1 above and two years of fulltime professional experience performing statistical analysis and programming work in any of the areas described in 1 above.

Level II

1. A masters degree from an accredited college or university in social science economics statistics computer science data analysis geography sciences technology engineering mathematics (STEM) or a closely related field with at least 12 credits or five courses in economics public policy econometrics statistics mathematics engineering geography or computer science.

2. A baccalaureate degree from an accredited college or university as described in 1 above and two years of fulltime professional experience performing statistical analysis and programming work in any of the areas described in 1 above.

Special Note:

To be eligible for placement in Assignment Level II individuals must have in addition to meeting the minimum requirements at least one year fulltime work experience in a related field or a masters degree from an accredited college or university in the areas described in 1 above with at least 12 credits or three advanced courses in economics public policy econometrics statistics mathematics engineering geography or computer science.

Level III

1. A masters degree from an accredited college or university in social science economics statistics computer science data analysis geography sciences technology engineering mathematics (STEM) or a closely related field with at least 12 credits or five courses in economics public policy econometrics statistics mathematics engineering geography or computer science.

2. A baccalaureate degree from an accredited college or university as described in 1 above and two years of fulltime professional experience performing statistical analysis and programming work in any of the areas described in 1 above.

Special Note:

To be eligible for placement in Assignment Level III individuals must have in addition to meeting the minimum requirements of Level II at least three years fulltime work experience in a related field or a Doctorate degree from an accredited college or university in the areas described above with at least 12 credits or three advanced courses in economics public policy econometrics statistics mathematics engineering geography or computer science.

Additional Information :

The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic including but not limited to an individuals sex race color ethnicity national origin age religion disability sexual orientation veteran status gender identity or pregnancy.

Remote Work :

No

Employment Type :

Fulltime