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Computer Science Economics Jobs in New York (NOW HIRING)

Brigit

Director of Data Science

New York, NY · On-site

$225K - $250K/yr

A Master's or PhD in a quantitative field (e.g., Statistics, Computer Science, Economics, or Applied Mathematics) is strongly preferred * Strong communication skills, with the ability to distill ...

Intuit

Staff AI Scientist

Manhattan, NY

$209K - $283K/yr

Qualifications * 4+ years of industry experience with AI science * BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent * 4+ years of hands-on ...

Intuit

Staff AI Scientist

New York, NY · On-site

$209K - $283K/yr

Qualifications * 4+ years of industry experience with AI science * BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent * 4+ years of hands-on ...

Intuit

Staff AI Scientist

Manhattan, NY

$209K - $283K/yr

Qualifications * 4+ years of industry experience with AI science * BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent * 4+ years of hands-on ...

campus4tech

Business Data Analyst

Iselin, NJ · On-site

Qualifications: • Bachelor's degree, 5+ years' experience in Data/Computer Science, Economics, Finance, or related. • Proven experience in data analysis, visualization, and AI applications. • ...

Capitex

AML Analytics Consultant

New York, NY · On-site +1

Bachelor's or Master's degree in Data Science, Computer Science, Economics, Finance, or a related field. * Certifications in AML (e.g., CAMS) or related compliance frameworks are advantageous. What ...

CAPITEX

AML Analytics Consultant

New York, NY · Remote

Bachelor's or Master's degree in Data Science, Computer Science, Economics, Finance, or a related field. * Certifications in AML (e.g., CAMS) or related compliance frameworks are advantageous. What ...

Capitex

AML Analytics Consultant

New York, NY · Hybrid

Bachelor's or Master's degree in Data Science, Computer Science, Economics, Finance, or a related field. * Certifications in AML (e.g., CAMS) or related compliance frameworks are advantageous. What ...

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Showing results 21-40

All JobsComputer Science Economics JobsComputer Science Economics Jobs in New York

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 Aug 9, 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:
Computer Science Economics jobs near you
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.

Forensic Automation Engineer Director | Technology

FTI Consulting, Inc.

New York, NY • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Who We Are
FTI Consulting is the leading global expert firm for organizations facing crisis and transformation. We work with many of the world's top multinational corporations, law firms, banks and private equity firms on their most important issues to deliver impact that makes a difference. From resolving disputes, navigating crises, managing risk and optimizing performance, our teams respond rapidly to dynamic and complex situations.
At FTI Consulting, you'll work side-by side with leaders who have shaped history, helping solve the biggest challenges making headlines today. From day one, you'll be an integral part of a focused team where you can make a real impact. You'll be surrounded by an open, collaborative culture that embraces diversity, recognition, professional development and, most importantly, you.
Are you ready to make your impact?
About The Role
FTI Consulting's Technology Consulting practice is seeking a skilled Director with experience providing customized programming solutions to solve client needs of first impression. Our Forensic Automation and Cognitive Technology Services teams are built to streamline digital investigations, enhance electronic evidence discovery, and accelerate decision-making across forensic, legal, and investigative domains. The ideal candidate will have a combination of background and experiences across information governance, digital forensics, electronic discovery, and data analytics. This is a unique opportunity to leverage your technical expertise and leadership skills to drive business growth and deliver high-quality services to our clients.
What You'll Do
  • Collaborate with stakeholders to scope project goals, define success metrics, and communicate insights in a clear, compelling manner
  • Act as a forensic technology lead in delivering end-to-end machine learning and data science solutions to enterprise clients across various industries Design, develop, and deploy predictive models, statistical algorithms, and custom machine learning pipelines using customized programming techniques. Present technical findings and recommendations to non-technical audiences including C-suite stakeholders and law firm partners
  • Build reusable quantitative components, templates, and accelerators using to enable scalable delivery across client engagements
  • Develop and deliver training programs for clients and internal teams on forensic automation and cognitive technologies

How You'll Grow
We are committed to investing and supporting you in your professional development and we have developed a range of programs focused on fostering leadership, growth and development opportunities. We aim to promote continuous learning and individual skills development through on-the-job learning, self-guided professional development courses and certifications. You'll be assigned a dedicated coach to mentor, guide and support you through regular coaching sessions and serve as an advocate for your professional growth. As you progress through your career at FTI Consulting, we offer tailored programs for critical professional milestones to ensure you are prepared and empowered to take on your next role.
What You Will Need To Succeed
Basic Qualifications
  • Bachelor's degree in a quantitative discipline (e.g., Computer Science, Economics, Engineering, Mathematics) or related field.
  • Fluency in Python and hands-on experience creating customized solutions leveraging advanced Python packages (e.g., scikit-learn, PyTorch, statsmodels) Experience with APIs and ability to independently collect, integrate, and analyze data from cloud platforms (e.g., AWS, GCP, Azure)
  • Demonstrable expertise navigating cloud-based enterprise systems (e.g., M365, Google Workspace, Slack)
  • Hands-on experience developing, tuning, and validating machine learning models, including hyperparameter optimization, feature selection methods, cross-validation, error analysis, bias-variance tradeoff management, model interpretability, and robustness and performance monitoring
  • Strong communication skills with the ability to align client needs with functional solutions, and effectively communicate technical information to non-technical stakeholder
  • Client-facing consulting experience
  • Experienced managing people on fast-moving, high-profile engagements
  • Applicants must currently be authorized to work in the US on a full-time basis; this position does not provide visa sponsorship.

Preferred Qualifications
  • Master's degree in Computer Science, Economics, Engineering, Mathematics, or a related quantitative field
  • 3+ years of experience in industries or services related to the Electronic Discovery Reference Model, and familiarity with forensic technology software (e.g., EnCase, Axiom, Cellebrite, NUIX, Relativity, and Reveal)
  • Fluency in R, particularly as it relates to data visualization and statistical programming
  • Deep expertise in machine learning algorithms (regression, classification, clustering, time series, NLP, etc.) and statistical modeling

FTI Consulting is an equal opportunity employer and does not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation.
Compensation
Minimum Pay: $123,500
Maximum Pay: $182,000
Compensation Disclosure: The compensation range reflects potential base salary for the role. Actual compensation is determined based on a wide array of relevant factors including market considerations, business needs, and an individual's location, skills, level of experience, and qualifications.

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