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Computer Science Economics Jobs in New York (NOW HIRING)

Data Analytics Specialist

Manhattan, NY · On-site

$100K - $125K/yr

Level II 1. A master's degree from an accredited college or university in social science, economics, statistics, computer science, data analysis, geography, sciences, technology, engineering ...

Data Analyst

Valhalla, NY · On-site

$32 - $40/hr

A Master's degree in Statistics, Mathematics, Epidemiology, Computer Science, Economics, or related fields. * Experience in statistical analysis and data manipulation. * Proficiency in statistical ...

Data Analyst

Valhalla, NY · On-site

$40/hr

A Master's degree in Statistics, Mathematics, Epidemiology, Computer Science, Economics, or related fields. * Experience in statistical analysis and data manipulation. * Proficiency in statistical ...

Data Analyst

Valhalla, NY · On-site

$32 - $40/hr

A Master's degree in Statistics, Mathematics, Epidemiology, Computer Science, Economics, or related fields. * Experience in statistical analysis and data manipulation. * Proficiency in statistical ...

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Showing results 1-20

Computer Science Economics information

See New York salary details

$12K

$107.2K

$175.6K

How much do computer science economics jobs pay per year?

As of Sep 5, 2026, the average yearly pay for computer science economics in New York is $107,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $24,100.00 and $175,000.00 per year, depending on experience, location, and employer.

What is a computer science economics?

A Computer Science Economics job combines computing, data analysis, and economic principles to solve complex business and financial problems. Professionals in this field work with algorithms, machine learning, and economic models to analyze trends, optimize decision-making, and improve efficiency. They may work in industries like finance, tech, or policy analysis, using data-driven methods to drive insights and innovation.

What does a computer science economics do?

Professionals in Computer Science Economics roles blend data analysis, economic modeling, and software development to provide insights that guide business strategies and policy decisions. On a typical day, you might analyze large datasets, build predictive economic models, collaborate with data engineers or economists, and present findings to stakeholders. Many roles are highly collaborative, often involving teamwork with both technical and non-technical colleagues to solve complex, real-world business or economic problems. The work environment can range from consulting firms to financial institutions or tech companies, offering a dynamic and intellectually stimulating setting with opportunities for continued learning and career growth.

What skills and qualifications are needed for a computer science economics?

To excel in a Computer Science Economics role, candidates typically need a strong background in both computer science fundamentals (such as programming, algorithms, and data structures) and economic theory, often evidenced by degrees in these or related fields. Familiarity with analytical tools like Python, R, SQL, and statistical modeling software, as well as experience with data visualization platforms, are commonly required. Strong communication, critical thinking, and problem-solving abilities enable effective collaboration across multidisciplinary teams. These skills and qualifications are crucial for leveraging computational techniques to analyze complex economic data and deliver actionable insights in technology-driven industries.

Is computer science and economics a good combination?

Computer Science Economics combines technical programming skills with economic analysis, making it valuable for roles in data analysis, financial modeling, and technology-driven economic research. Professionals in this field often use programming languages like Python or R and may pursue certifications in data science or economics to enhance their expertise.

What are the top 3 highest paying jobs in computer science?

In computer science, the highest paying roles typically include software engineering managers, data scientists, and solutions architects. These positions often require advanced technical skills, experience, and sometimes certifications, and they tend to offer salaries significantly above the industry average.

What can you do with a computer science and economics degree?

A computer science and economics degree prepares individuals for roles such as data analyst, financial analyst, software developer, or economic consultant. These roles often require skills in programming, data analysis, and understanding economic principles, and may involve working with tools like Python, R, or SQL in various industries including finance, technology, and consulting.

What job categories do people searching Computer Science Economics jobs in New York look for?

The top searched job categories for Computer Science Economics jobs in New York are:

Infographic showing various Computer Science Economics job openings in New York as of August 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 89% In-person, and 11% Hybrid job distribution, with an average salary of $107,215 per year, or $51.5 per hour.

Data Analytics Specialist

City of New York

Manhattan, NY • Hybrid

Full-time

Posted 21 days ago


City Of New York rating

7.2

Company rating: 7.2 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

625th of 855 rated public administrative organizations


Job description

Job Description

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.
DOF's 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's Compliance and Quality Assurance Units, serve as independent functions that promote quality assurance, consistency, and integrity in property valuation, property exemptions, and the administration of the Non-Primary Residence Surcharge. The units also assist with Primary Residence Verification (PRV) exemption requests submitted by property owners who disagree with DOF determination regarding PRV eligibility and subsequently the surcharge levy.
The ideal candidate will become familiar with Non-Primary Residence Surcharge Rules and learn how to process Primary Residence Exemption Appeal applications in Smartfile. The overall goal is to ensure the accuracy and the integrity of the assessment role, including matters related to the Non-Primary Residence surcharge; promote the consistent application of policies and procedures by assessors and processors; foster transparency, accountability, and integrity throughout the assessment process; and provide recommendations to improve operations, training, resource development, and business processes.
Reporting to the Senior Director of Compliance and Quality Assurance, the selected candidate's duties and responsibilities will include, but are not limited to the following:
- Use data tool systems, SAS or SQL, to extract data concerning Non-Primary Residence Surcharge parcel level and aggregate data and create statistical reports and summaries. Track changes to relevant property information following the initial surcharge.
- Create annual summary reports on Primary Residence Verification Exemption appeals handled by DOF, Tax Commission rulings on market value and/or primary residence verification appeals, and the number of property owners that file Article 78 cases per DOF PRV exemption denials.
- Serve as the unit's liaison within DOF, coordinating operations or technological issues per Executive, Tax Policy, Information Technology and or Legal Divisions for Property valuation, Property Exemption and Non-Primary Residence Surcharge programs.
- Respond to requests for data reports from various Property Division units under tight deadlines. Produce canned reports for both the Computer Assisted Mass Appraisal application as well as Property Tax System (PTS) and assist other staff to run reports as needed.
- Improve and increase data available for Quality Assurance staff, assessors, and supervisors concerning parcels with filed Industrial Commercial Abatement Program (ICAP') applications. Assist in the cleanup of parcel data by updating descriptive and valuation data, to ensure all changes to properties are captured. Work to consolidate and streamline data sources and reports.
- Manage projects and aid Property Field or other units to identify parcels with incomplete or erroneous data. Research and provide additional data and analysis.
- Assist other business units with special projects as needed.
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.
This position may be eligible for remote work up to 2 days per week, pursuant to the Remote Work Pilot Program agreed between the City and the Collective Bargaining Unit representing employees serving in the civil service title.
BUSINESS RESEARCH & DATA ANALY - 13135

Qualifications

Level I
1. A master's 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 master's 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 master's 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 master's 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 individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.


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