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Computer Science Consulting Jobs in Seattle, WA (NOW HIRING)

Globenet Consulting Corp

Decision Scientist

Lynnwood, WA · On-site

$50 - $55/hr

Bachelor's degree in analytics, data science, statistics, economics, business, computer science, or a related field preferred. * At least four years of experience in strategic analytics, product ...

Ampcus Inc

Systems Engineer III

Redmond, WA · On-site

Required : • MS in Computer Science, Computer or Electrical Engineering, Mathematics, or a ... Ampcus is a global business, technology consulting and an staff augmentation firm specializing in ...

Launch Consulting

Sr. Data Scientist

Bellevue, WA · On-site

$140K - $180K/yr

... computer vision, and other cutting-edge techniques. Key Responsibilities: * Lead advanced Data Science initiatives from ideation to deployment, ensuring alignment with business strategy and ...

TestingXperts

Power BI Developer

Redmond, WA

My name is Suneetha from Testing Xperts, we are a global staffing, consulting and technology ... Computer Science, Mathematics, Engineering, or related fields with 8 plus years of experience.

TestingXperts

Power BI Developer

Redmond, WA

My name is Suneetha from Testing Xperts, we are a global staffing, consulting and technology ... Computer Science, Mathematics, Engineering, or related fields with 8 plus years of experience.

Vish Consulting IT

React Native Developer

Seattle, WA · On-site

Bachelor's degree in Computer Science, Engineering, or a related field (preferred but not mandatory ... Thanks & Regards, Vivek Sharma Account Manager Email: vivek@vishusa.com Vish Consulting Services ...

Real Soft, Inc.

SAP Basis Consultant

Seattle, WA · On-site

$76 - $99/hr

Consultant should have Aerospace Domain & AWS & SAP HANA Expereince must. Minimum 10+ Years ... SAP for Aerospace & Defense Educational Requirements: * BS in Computer Science or Equivalent ...

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All JobsComputer Science Consulting JobsComputer Science Consulting Jobs in Seattle, WA

Computer Science Consulting information

See Seattle, WA salary details

$64.3K

$94.6K

$111.5K

How much do computer science consulting jobs pay per year?

As of Aug 23, 2026, the average yearly pay for computer science consulting in Seattle, WA is $94,580.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,200.00 and $106,400.00 per year, depending on experience, location, and employer.

What is computer science consulting?

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.

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 key skills and qualifications needed to thrive in computer science consulting?

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.

Can I go into computer science consulting with a computer science degree?

Computer science consulting is a career that typically requires a computer science degree, along with strong problem-solving skills and knowledge of programming languages, data analysis, and systems design. Many consultants also obtain certifications or gain experience in specific technologies to enhance their expertise and credibility in the field.

What does a computer science consulting do?

A computer science consulting professional provides expert advice and solutions related to software development, systems architecture, cybersecurity, and data management. They analyze client needs, recommend technology strategies, and often implement or oversee technical projects using programming skills and industry best practices.

What are the most commonly searched types of Computer Science Consulting jobs in Seattle, WA?

The most popular types of Computer Science Consulting jobs in Seattle, WA are:

What are popular job titles related to Computer Science Consulting jobs in Seattle, WA?

For Computer Science Consulting jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Computer Science Consulting jobs in Seattle, WA look for?

The top searched job categories for Computer Science Consulting jobs in Seattle, WA are:

Computer Science Consulting jobs near you
Infographic showing various Computer Science Consulting job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $94,580 per year, or $45.5 per hour.

Decision Scientist

Globenet Consulting Corp

Lynnwood, WA • On-site

$50 - $55/hr

Full-time

Posted 21 days ago

Job description

Benefits:
  • Competitive salary
  • Opportunity for advancement
  • Training & development

Decision ScientistAbout the Role
The Decision Scientist will partner with Digital Product Managers, Engineering, UX, Operations, and Analytics teams to drive data-informed decisions across digital ordering experiences.
This role combines advanced analytics, experimentation, forecasting, AI-enabled insights, and business performance analysis to improve digital experiences, operational efficiency, and product outcomes. The ideal candidate brings strong analytical expertise, business acumen, and the ability to translate complex findings into clear recommendations for product leaders and senior executives.
Benefits and Opportunities
  • Influence product strategy, roadmap priorities, and investment decisions
  • Work with large-scale data across cloud and on-premises environments
  • Build AI-enabled analytics tools and self-service reporting capabilities
  • Lead experimentation, forecasting, and product measurement initiatives
  • Collaborate with cross-functional product, engineering, UX, and operations teams
Core Responsibilities
Product Analytics and Decision Support
  • Analyze product, operational, transaction, and digital experience performance to identify trends, risks, root causes, and opportunities.
  • Develop recommendations that influence product prioritization, roadmap planning, feature optimization, and investment decisions.
  • Build analytical models, forecasts, scenario-planning tools, and opportunity-sizing assessments.
  • Define key performance indicators and monitor product, operational, and business outcomes.
  • Quantify business impact and measure return on investment for product initiatives.
Experimentation and Product Measurement
  • Define measurement strategies and success criteria for new products, features, and digital experiences.
  • Design and evaluate A/B tests, pilots, and experiments.
  • Measure adoption, engagement, conversion, transaction success, operational efficiency, and feature utilization.
  • Create standardized product measurement frameworks across platforms and channels.
  • Evaluate pilot results and provide recommendations for broader implementation.
Dashboards, Data Products, and AI Enablement
  • Build and maintain product health scorecards, performance dashboards, and automated reporting solutions.
  • Develop AI-enabled and self-service analytics tools for product teams.
  • Automate recurring analysis, monitoring, and reporting activities.
  • Partner with data engineering and analytics teams to improve data quality, accessibility, and reporting capabilities.
  • Enhance existing dashboards and data products based on evolving business needs.
Business Problem-Solving and Communication
  • Lead analysis of complex and ambiguous business questions.
  • Develop hypotheses, research approaches, measurement plans, and actionable recommendations.
  • Translate technical analysis into clear business implications.
  • Create executive-ready presentations covering performance, risks, opportunities, and recommended actions.
  • Present findings to product leadership and senior executives.
  • Promote best practices in decision science, experimentation, product analytics, and AI-enabled reporting.
Required Qualifications
  • Bachelor’s degree in analytics, data science, statistics, economics, business, computer science, or a related field preferred.
  • At least four years of experience in strategic analytics, product analytics, or decision support.
  • At least five years of experience communicating analytical findings and producing detail-oriented deliverables.
  • Advanced proficiency in SQL, Excel, Python, R, SAS, Tableau, or Power BI.
  • Experience with Azure Data Lake Storage, Azure SQL Server, Oracle, AWS, on-premises systems, and web-based data sources.
  • Experience performing exploratory data analysis, data cleansing, transformation, aggregation, and large-scale data manipulation.
  • Knowledge of experimental design, A/B testing, forecasting, and scenario planning.
  • Ability to explain complex technical findings to non-technical audiences.
  • Strong business acumen and understanding of operational and digital product processes.
Technology
  • Azure
  • Oracle
  • SQL Server
  • Python, R, and SAS
  • Tableau or Power BI
  • Microsoft Office Suite
  • Smartsheet
Preferred: Experience with Databricks.
Key Success Measures
Success may be measured through digital experience performance, order-entry speed, error rates, adoption, engagement, cart completion, checkout success, payment speed, transaction reliability, order accuracy, throughput, peak-hour performance, feature utilization, and satisfaction indicators.
Ready to make an impact? Apply now and join us on our journey!