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Computer Science Consulting Jobs in New York (NOW HIRING)

Cogent Infotech Corp

Computer Operators

Jamaica, NY · On-site

With over 21 years of excellence in consulting and talent solutions, we pride ourselves on building ... Process business, scientific, engineering, and operational data according to established ...

Cogent Info

Computer Operators

Jamaica, NY · On-site

With over 21 years of excellence in consulting and talent solutions, we pride ourselves on building ... Process business, scientific, engineering, and operational data according to established ...

Exponent Inc.

Electrical Engineer (Ph.D.)

Manhattan, NY · On-site

$140K - $154K/yr

Ability to support multiple group projects and market the Electrical Engineering & Computer Science Practice and its consulting services Applicants are encouraged to submit a CV (Curriculum Vitae ...

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Computer Science Consulting information

See New York salary details

$61.8K

$90.9K

$107.2K

How much do computer science consulting jobs pay per year?

As of Jul 14, 2026, the average yearly pay for computer science consulting in New York is $90,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,800.00 and $102,300.00 per year, depending on experience, location, and employer.

Is 100 an hour good for consulting?

For a computer science consultant, earning $100 an hour is generally considered competitive, especially for those with specialized skills, certifications, or extensive experience. Rates can vary based on industry, project complexity, and geographic location, but $100 per hour aligns with mid- to high-range consulting fees in the tech field.

What is a Computer Science Consulting job?

A Computer Science Consulting job involves providing expert advice and solutions related to software development, system architecture, data analysis, cybersecurity, or other technical areas. Consultants work with businesses to identify technological challenges, recommend appropriate strategies, and often assist in implementing solutions. They may specialize in areas such as AI, cloud computing, or IT infrastructure. The role requires strong problem-solving skills, technical expertise, and effective communication to bridge the gap between technology and business needs.

Is 30 too old to get into consulting?

Computer Science Consulting is a field that values skills and experience over age, and many professionals transition into consulting at various stages of their careers. Age 30 is generally not considered too old, especially if you have relevant technical skills, certifications, and a strong understanding of client needs. Success in consulting depends more on expertise, problem-solving ability, and adaptability than on age.

Can you do consulting with a computer science degree?

Computer science degrees are highly relevant for consulting roles in technology, software development, and IT strategy. Consultants often use their programming, problem-solving, and analytical skills to advise clients on technical solutions, system implementations, and process improvements. Certifications like PMP or cloud platform credentials can enhance consulting opportunities in this field.

How much do computer science consultants make?

Computer science consultants typically earn between $70,000 and $130,000 annually, depending on experience, location, and specialization. Senior consultants or those with advanced skills in areas like cybersecurity or data science can earn higher salaries, especially with certifications and a strong portfolio.

What are the key skills and qualifications needed to thrive in the Computer Science Consulting position, and why are they important?

To thrive in Computer Science Consulting, you need a strong background in computer science fundamentals, problem-solving, and industry experience, often backed by a relevant degree. Familiarity with programming languages, cloud platforms, enterprise software solutions, and certifications like AWS Certified Solutions Architect or Certified Information Systems Security Professional (CISSP) is highly beneficial. Excellent communication, client management, and project leadership skills help consultants translate technical concepts for non-technical stakeholders and foster productive client relationships. These skills enable consultants to deliver effective, tailored solutions and add value in diverse, fast-evolving technology environments.

What types of projects do computer science consultants typically work on?

Computer science consultants are often brought in to help organizations solve complex technical challenges, such as developing custom software solutions, optimizing existing IT infrastructure, or implementing cybersecurity measures. Projects may range from advising on digital transformation and cloud migration to supporting data analysis or improving business processes with technology. Consultants typically work closely with client teams, collaborating with IT staff, managers, and end-users to understand needs and deliver practical solutions. This role offers exposure to a variety of industries and technologies, making it ideal for professionals who enjoy diverse, project-based work and ongoing learning.

What are the most commonly searched types of Computer Science Consulting jobs in New York? The most popular types of Computer Science Consulting jobs in New York are:
What are popular job titles related to Computer Science Consulting jobs in New York? For Computer Science Consulting jobs in New York, the most frequently searched job titles are:
What job categories do people searching Computer Science Consulting jobs in New York look for? The top searched job categories for Computer Science Consulting jobs in New York are:
Computer Science Consulting jobs near you
Infographic showing various Computer Science Consulting job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $90,924 per year, or $43.7 per hour.

Manager Data Science AI & Machine Learning - Hybrid 4 days

Publicis Groupe Holdings B.V

Manhattan, NY • On-site

Full-time

Medical, PTO

Posted 15 days ago

Job description

Company description
Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients' businesses through designing the products and services their customers truly value.
Overview
Manager Data Science - Hybrid (4 days) NYC
The Manager, Data Science is to lead and work with clients undergoing a data-driven transformation (DDT) across the globe. The Manager will accelerate and drive the DDT strategy for clients, working in partnership with digital directors, client teams, and practice capability. Furthermore, the role will be a key contributor in ensuring the agency is an industry leader in digital thinking, execution, and value realization for clients through data-driven solutions.
Your Impact:
  • You're passionate about solving real world problems through the application of machine learning and AI
  • Consult with clients to define business problems, and advise on how to apply data science to solve those problems
  • Effectively communicate complex technical concepts, processes and results to non-technical audiences
  • Solve some of today's most complex customer issues by designing, coding and implementing machine learning and AI solutions for our clients, or in support of our AI platforms. Engage across capabilities to ensure project delivered to client expectations
  • Collaborate and knowledge-share with your colleagues by sharing the latest research new data science methods, technologies, and thinking to optimize client solutions and outcomes, as well as through detailed, constructive design and code reviews. Provide expertise and point of view on statistical & machine learning methods and applications to colleagues and clients. Commit time to training junior team members
  • Help establish rigorous standards in machine learning and statistical analysis to ensure consistency across projects. Contribute to the advancement of data science as a capability
  • Provide internal expertise and point of view on data science applications. Ability to apply techniques and learnings from past projects to new projects
  • Contribute to identification of new opportunities within the data science space and support the delivery of projects on time and to the highest possible standards.
  • Effectively manage a small team through constructive, honest feedback, daily leadership and motivation being accountable for project quality and delivery

Qualifications
Your Skills & Experience
  • Master's or PhD in Data Science, Computer Science, AI, Statistics, Mathematics, Engineering, or related quantitative field.
  • 9+ years of hands-on experience designing, building, and deploying machine learning solutions in production environments.
  • Strong understanding of MLOps, including CI/CD, Model Versioning, Experiment Tracking, Model Monitoring, Drift Detection, and Automated Retraining.
  • Experience deploying AI/ML solutions into large-scale production environments supporting real-time decisioning and personalization in a hyperscale environment.
  • Strong experience in Telecom or Retail use cases, including customer engagement, loyalty, retention, cross-sell, upsell, and digital commerce optimization.
  • Deep expertise in Recommendation Systems, Next Best Action (NBA), Next Best Offer (NBO), Personalization, Customer Segmentation, Churn Prediction, and Customer Analytics.
  • Hands-on expertise with Classification Models, Ensemble Methods, Anomaly Detection, Forecasting, and Statistical Modelling.
  • Experience developing NLP and Generative AI solutions, including Sentiment Analysis, Text Classification, Transformer Models, LLMs, and RAG applications.
  • Strong programming skills in Python and SQL, with experience using TensorFlow, PyTorch, Scikit-Learn, XGBoost, or similar ML frameworks.
  • Hands-on experience with GCP and Vertex AI, including model development, deployment, monitoring, and optimization.
  • Experience implementing Feature Stores, Feature Engineering Pipelines, and Reusable ML Assets for enterprise-scale AI solutions.
  • Expertise in Model Evaluation and Experimentation, including deterministic vs. model-based approaches, A/B testing, explainability, and business impact measurement.
  • Ability to lead code reviews, mentor data scientists, and provide hands-on technical leadership while remaining actively involved in solution delivery.
  • Exceptional communication and consulting skills with the ability to translate complex AI and machine learning concepts into business value for senior stakeholders.

Set Yourself Apart With
  • Experience in AI-driven product development and digital transformation initiatives.
  • Knowledge of causal inference, time series forecasting, and unsupervised learning techniques.
  • Strong understanding of AI ethics, fairness, and interpretability.
  • Hands-on experience with AI model deployment and monitoring in production environments.

Additional information
Salary Range: $155,000 - $200,000
The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. Actual range for this position may differ, depending on location and specific skillset required for the work itself.
  • An inclusive workplace that promotes diversity and collaboration.
  • Access to ongoing learning and development opportunities.
  • Competitive compensation and benefits package.
  • Flexibility to support work-life balance.
  • Comprehensive health benefits for you and your family.
  • Generous paid leave and holidays.
  • Wellness program and employee assistance.

As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at hiring@publicis.sapient.com

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