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Computer Science Economics Jobs in New York (NOW HIRING)

OR a PhD in Economics, Statistics, Computer Science, or related quantitative field * Proficiency in SQL * Proficiency with Python or R * Strong foundation in experimentation and causal inference ...

Master's degree or foreign equivalent degree in Statistics, Applied Mathematics, Economics, Engineering, Computer Science or a related field and two years of experience in the job offered or a ...

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Computer Science Economics information

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$12K

$107.2K

$175.6K

How much do computer science economics jobs pay per year?

As of Aug 8, 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 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 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 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.

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. Graduates can work in finance, technology, consulting, or research, often utilizing skills in programming, data analysis, and economic modeling.

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 tech-driven economic research. This interdisciplinary background can enhance job prospects in finance, consulting, and technology sectors that rely on data-driven decision making.
What are popular job titles related to Computer Science Economics jobs in New York? For Computer Science Economics jobs in New York, the most frequently searched job titles are:
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 83% Full Time, and 17% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $107,215 per year, or $51.5 per hour.

Data Scientist - Healthcare (Hybrid / New York Metro) ( 3 days on-site )

AssistRx

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 22 days ago


AssistRx rating

7.2

Company rating: 7.2 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

135th of 223 rated it services


Job description

AssistRx is a healthcare technology company focused on specialty pharmacy hub services, helping pharmaceutical manufacturers improve therapy initiation, patient access, and reimbursement workflows through its iAssist platform and related support services. Its platform connects patients, providers, payors, and manufacturers across complex specialty therapy programs, supporting a broad portfolio of work across areas including oncology, immunology, rare disease, and obesity.
In this role, you will contribute to a high-performance analytics team focused on turning complex healthcare data into meaningful insight for clients. This position is centered on delivering analytical work that supports program performance evaluation and helps shape the outputs, narratives, and insights that define the team's value to manufacturer partners.
Responsibilities
  • Produce structured, audience-ready analytical outputs that support client engagements and program insight generation.
  • Explain quantitative findings in plain language for non-technical audiences.

Requirements
REQUIRED QUALIFICATIONS
  • Approximately 5 years of experience in healthcare analytics, with direct experience in one or more of the following: pharmaceutical manufacturer (commercial, market access, or patient services analytics), pharma consulting, health insurer, or pharmacy benefit manager (PBM)
  • Strong proficiency in SQL; experience querying and manipulating data in cloud data warehouse environments (Snowflake preferred)
  • Python or R required; Python preferred (pandas, numpy, scipy, and scikit-learn)
  • Working knowledge of statistical methods applicable to program performance analysis: cohort analysis, survival analysis, funnel decomposition, regression modeling, distribution-based metrics, and experimental design and A/B testing frameworks
  • Experience producing structured, audience-ready analytical outputs - not just raw analyses; strong attention to how findings are communicated, not just computed
  • Clear, organized written and verbal communication skills; ability to explain quantitative findings in plain language
  • Bachelor's degree in a quantitative field (statistics, mathematics, data science, computer science, economics, or related); advanced degree a plus
  • Eligible to work in the United States

Benefits
  • Supportive, progressive, fast-paced environment
  • Matching 401(k) with immediate vesting
  • Medical, dental, vision, life, & short-term disability insurance
  • Opportunity to impact patient outcomes through data-driven healthcare technology.
  • Collaborative and mission-driven culture that values innovation and continuous learning.
  • Access to cutting-edge cloud technologies and modern data engineering tools.

AssistRx, Inc. is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors, or any other protected categories protected by federal, state, or local laws.

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