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Computer Science Economics Jobs in New York (NOW HIRING)

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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 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.

Corporate Vice President, Compensation Modeling & AI

New York Life

Manhattan, NY โ€ข Hybrid

$119K - $165K/yr

Full-time

Posted 11 days ago


Job description

Job Requisition ID:ย 94370

Location Designation:ย Hybrid - 3 days per weekย 

Role Overview:ย 

The Corporate Vice President is a strategic leader within the Compensation Operations team responsible for advancing the design, modeling, and modernization of New York Life's field compensation programs. This role will lead the development of sophisticated compensation models, leveraging actuarial principles, predictive analytics, artificial intelligence, and data science techniques to evaluate, optimize, and recommend compensation strategies that align with business objectives.

Working closely with senior leaders across Compensation Strategy, Distribution, Finance, Technology, Data & Analytics, and Field Leadership, this individual will develop analytical frameworks that evaluate plan effectiveness, model behavioral outcomes, and inform executive decision-making. The role will also partner with Compensation Operations and Technology teams to ensure approved designs can be successfully implemented within the Varicent Incentive Compensation Management platform.

This position serves as the analytical center of excellence for compensation plan design, balancing financial performance, sales behavior, competitiveness, and operational feasibility.

What You'll Do:

Lead the design and advanced analytical modeling of field compensation plans and other Field Experience needs.

Develop predictive compensation models to evaluate financial impact, participant behavior, sales outcomes, and organizational performance.

Apply actuarial methods, statistical analysis, machine learning, and AI-enabled modeling techniques to improve compensation design and decision making.

Build simulation models that evaluate proposed compensation changes under multiple business scenarios and economic assumptions.

Translate complex business challenges into quantitative models that support strategic compensation recommendations.

Collaborate with Compensation Operations and Technology teams to ensure compensation designs can be effectively operationalized within the Varicent platform.

Evaluate emerging AI capabilities and advanced analytics technologies to improve compensation design, forecasting, and operational efficiency.

Lead compensation analytics supporting executive presentations, governance committees, and strategic planning initiatives.

Assist in develop key performance indicators and dashboards measuring compensation plan effectiveness and participant outcomes.

Mentor analysts and business partners in analytical methodologies, modeling techniques, and data-driven decision making.

Support enterprise modernization initiatives focused on automation, AI adoption, and next-generation compensation capabilities.

What You'll Bring:

Required Skills:

Bachelor's degree in Actuarial Science, Mathematics, Statistics, Economics, Finance, Data Science, Operations Research, Computer Science, or related quantitative discipline.

8-12 years of progressive experience in compensation strategy, actuarial science, predictive analytics, financial modeling, or quantitative business analysis.

Demonstrated experience developing sophisticated financial or behavioral models supporting strategic business decisions.

Strong understanding of incentive compensation principles, sales performance measurement, or behavioral economics.

Advanced analytical capabilities including statistical modeling, scenario analysis, forecasting, and optimization techniques.

Experience leveraging Artificial Intelligence and Machine Learning tools to improve business modeling, forecasting, or decision support.

Advanced proficiency with Excel and analytical tools such as Python, R, SQL, SAS, MATLAB, or equivalent quantitative platforms.

Excellent executive communication skills with the ability to explain complex analytical findings to non-technical audiences.

Strong business acumen with the ability to balance financial objectives, participant behavior, and operational considerations.

Demonstrated leadership in managing cross-functional initiatives involving business, finance, and technology partners.

Preferred Skills:

Fellow or Associate of the Society of Actuaries (FSA/ASA) or equivalent actuarial credential.

MBA or advanced degree in Actuarial Science, Statistics, Data Science, Economics, Finance, or related field.

Experience designing or evaluating sales compensation programs within financial services, insurance, wealth management, or related industries.

Familiarity with Varicent Incentive Compensation Management (ICM) or comparable incentive compensation platforms.

Experience developing AI-enabled forecasting, optimization, or simulation models.

Experience with visualization tools such as Power BI or Tableau.

Knowledge of cloud-based analytics platforms and modern data architecture.

#LI - EM1

#LI - HYBRID

Job Level: LEVELPF5

Pay Transparency

Salary Range:ย $119,000-$165,000ย 

Overtime eligible:ย Exemptย 

Discretionary bonus eligible:ย Yesย 

Sales bonus eligible:ย Noย 

Actual base salary will be determined based on several factors but not limited to individual's experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.

Our Benefits

We provide a full package of benefits for employees - and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work. Click here to discover more about our comprehensive benefit options or visit our NYL Benefits Site.

Our Commitment to Inclusion

At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities.ย Click here to learn more about New York Life's leadership in this space.

Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by theย Foundation.ย We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.

Job Requisition ID: 94370


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About NorCal Orange

Sourced by ZipRecruiter

Industry

Colleges, universities, and professional schools

Company size

11 - 50 Employees

Headquarters location

Syracuse, NY, US