ZipRecruiter

Log In

2

Remote Computer Science Research Assistant Jobs in Everett, WA

Aquent

Usability Researcher 1

Redmond, WA · On-site +1

$44 - $48/hr

Your research will shape the future of user interaction, making a tangible difference for a global ... Bachelors, Masters or PhD degree in Human-Computer Interaction, Computer Science or relevant ...

Zortech Solutions

MLOps Engineer

Bellevue, WA · Remote

Bellevue, WA Remote Work100% Primary SkillsAWS Cloud Formation * MLOps Engineer to work on AWS GovCloud Databricks * Bachelor's degree in computer science, Engineering, Applied Mathematics or related ...

previous page

Showing results 41-60

All JobsComputer Science Research JobsRemote Computer Science Research Assistant JobsRemote Computer Science Research Assistant Jobs in Everett, WA

Remote Computer Science Research Assistant information

See Everett, WA salary details

$9

$24

$35

How much do remote computer science research assistant jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for remote computer science research assistant in Everett, WA is $24.20, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $28.12 per hour, depending on experience, location, and employer.

What is a remote computer science research assistant?

A Remote Computer Science Research Assistant is someone who supports computer science research projects from a remote location, typically via the internet. Their duties often include conducting literature reviews, collecting and analyzing data, developing code or algorithms, and assisting with the preparation of academic papers or presentations. This role requires strong technical skills, good communication, and the ability to work independently while collaborating with a research team online. Remote assistants may work for universities, research institutes, or private companies on topics such as artificial intelligence, cybersecurity, or software engineering.

What are the key skills and qualifications needed to thrive as a remote computer science research assistant?

To thrive as a Remote Computer Science Research Assistant, you need a solid background in computer science fundamentals, programming, and research methodology, often supported by progress toward or completion of a relevant degree. Familiarity with data analysis tools, programming languages like Python or Java, version control systems such as Git, and literature databases is typically required. Strong written communication, self-motivation, and time management skills help you excel when collaborating remotely and handling independent research tasks. These abilities are crucial for efficiently contributing to research projects, meeting deadlines, and maintaining productive collaboration from a remote environment.

What is the difference between Remote Computer Science Research Assistant vs Remote Data Analyst?

AspectRemote Computer Science Research AssistantRemote Data Analyst
Required CredentialsBachelor's or higher in Computer Science or related field; research experienceBachelor's or higher in Data Science, Statistics, or related field; analytical skills
Work EnvironmentAcademic or research institutions, labs, universitiesBusiness, finance, healthcare, or tech companies
Employer & Industry UsageUniversities, research centers, tech labsCorporations, consulting firms, data-driven industries
Common Search & ComparisonYesNo

The Remote Computer Science Research Assistant typically focuses on supporting academic or research projects in computer science, often involving experimental or theoretical work. In contrast, a Remote Data Analyst primarily analyzes data to inform business decisions. While both roles require strong analytical skills and related credentials, their work environments and industry applications differ significantly.

How do remote computer science research assistants typically collaborate with research teams when working from different locations?

Remote Computer Science Research Assistants generally use a mix of collaboration tools such as video conferencing, shared code repositories, and project management platforms to stay connected with their teams. Regular virtual meetings help align research goals, discuss progress, and resolve technical issues. Clear written communication is especially important in this setting, as documentation and asynchronous updates help ensure everyone is on the same page. Team members often share tasks such as data analysis, literature reviews, and experimental design, making collaboration a key part of daily responsibilities.
What job categories do people searching Remote Computer Science Research Assistant jobs in Everett, WA look for? The top searched job categories for Remote Computer Science Research Assistant jobs in Everett, WA are:
What cities near Everett, WA are hiring for Remote Computer Science Research Assistant jobs? Cities near Everett, WA with the most Remote Computer Science Research Assistant job openings:
Remote Computer Science Research Assistant jobs near you

Data Science Manager, Finance and Strategy

Stripe

Seattle, WA • On-site, Remote

Full-time

Re-posted 20 days ago

Job description

Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the team
Finance and Strategy Data Science builds the forecasting models, data infrastructure, and analytics tools at the core of how Stripe measures and plans its business. The team owns everything from hierarchical time series and agentic forecasting tools that predict payment volumes and revenue margins, to the governed metrics platform that feeds company-wide dashboards and executive reporting. We partner closely with Finance and Strategy, GTM, and Product stakeholders to directly inform financial decisions across Stripe's entire business. The team combines technical depth, strategic thinking, and executive partnership that develops both technical and business expertise.
What you'll do
Data Science Managers at Stripe are responsible for the success of their team. You'll be deeply involved in the modeling and design processes as well as coaching, mentoring, and leading the team. You'll have a deep understanding of how to drive efficient data science teams and you'll have a strong user-focus. You'll be working with data scientists, analysts, and engineers on creating technical solutions and communicating effectively across teams and senior leadership.
Responsibilities
  • Drive the roadmap and priorities for your team, and work with many Stripe leaders across the company to enhance our ability to be data-driven.
  • Collaborate with stakeholders across the organization such as engineering, analytics, operations, finance, and marketing.
  • Lead and manage processes to help the team do its best work and engage effectively with the rest of Stripe.
  • Manage a high-performing team of data scientists, supporting them to achieve a high level of technical excellence and advance in their careers.
  • Recruit and onboard great data scientists, in collaboration with Stripe's recruiting team.
  • Contribute to broad data science initiatives as a member of Stripe's data science management team.
Who you are
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
  • You have at least 3 years of direct management experience leading data science or ML teams, and 10 years of overall data science experience.
  • You've demonstrated expertise in designing metrics and guiding business decisions with data.
  • You have technical expertise to drive clarity with staff and senior scientists about architecture and strategic modeling decisions.
  • You've managed teams that have built and shipped machine learning systems and data products at scale, and have hands-on experience with challenging problems.
  • You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs.
  • You have clear and persuasive communication skills in writing and in speech.
  • You thrive on a high level of autonomy and responsibility.
  • You foster a healthy, inclusive, challenging, and supportive work environment.
Preferred qualifications
  • A PhD or MS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering)
  • You're comfortable working with geographically distributed teams.
  • Expertise in time series forecasting, predictive modeling, or optimization
  • Expertise in data design and building scalable data architectures

Apply