3d modeler serp_jobs.h1.location_city

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.

DOFs Property Valuation and Tax Mapping (PVM) 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 Modeling and Research Group (PMR) develops statistical models for a broad range of tax classes leveraging advanced statistical methods geospatial analysis and GIS mapping to enhance valuation accuracy and efficiency.

An excellent opportunity is available in the Property Modeling Group to assist in the mass valuation of New York Citys one million tax parcels. With strong statistical and GIS analytical skills the selected candidate will manage projects related to valuation model development provide support to other modelers and work closely with management as part of the Property Modeling & Research Team.

Responsibilities include but are not limited to the following :

• Develop comparable selection models for residential properties including Tax Class 1 single- to three-family houses and Tax Class 2 rental cooperative and condominium properties and implement them into the Computer-Assisted Mass Appraisal (CAMA) system.
• Develop comparable selection models for Tax Class 4 industrial properties and garages tailoring the models to the unique characteristics of these property types to ensure reliable and equitable assessments.
• Conduct monthly automated sales data cleaning within the CAMA system to maintain accurate and up-to-date records.
• Analyze real property income and expense data integrating cell site leasing commission and tenant improvement addbacks conducting NNN lease analysis and generating alternative comparable properties to streamline valuation processes and enhance data accuracy.
• Create a sales-based valuation model for condominiums to support forthcoming property tax reforms and future assessment needs through a Tax Class 2 Condominiums Hierarchical Sales Model. Initiate R workflows to extract and standardize property data for improved valuation and analytical efficiency.
• Design SAS and ArcGIS workflows to automate the production of Enhanced Tax Maps for assessors transitioning static maps into an interactive web-based system.
• Lead the development of two dashboards : the Rent Roll Dashboard and the High-End Condominium Cooperatives Dashboard providing actionable insights to support assessment operations.

Additional Information :

In compliance with federal law all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.

BUSINESS RESEARCH & DATA ANALY - 13135

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 full-time 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 full-time 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 full-time 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 full-time 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 full-time 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 : Full-time

Key Skills

Atl,CMMS,ABAP,Community Support,CRM,Fleet

Experience : years

Vacancy : 1