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Data Science Research Assistant Jobs in Seattle, WA

Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or ...

Research Scientist II

Bellevue, WA · On-site

$125K - $190K/yr

You will work at the intersection of operations research, data science, and supply chain systems to solve complex fulfillment and transportation challenges at scale. You will translate ambiguous ...

Nielsen/IRI/Market Research Data understanding Job responsibilities: * Understand business requirement from client and translate it to appropriate Analytics use cases * Work in a team environment to ...

Nielsen/IRI/Market Research Data understanding Job responsibilities: * Understand business requirement from client and translate it to appropriate Analytics use cases * Work in a team environment to ...

Nielsen/IRI/Market Research Data understanding Job responsibilities: * Understand business requirement from client and translate it to appropriate Analytics use cases * Work in a team environment to ...

Research Scientist II

Bellevue, WA · On-site

$125K - $190K/yr

You will work at the intersection of operations research, data science, and supply chain systems to solve complex fulfillment and transportation challenges at scale. You will translate ambiguous ...

Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or ...

Senior Data Scientist

Seattle, WA · On-site

$140 - $207/hr

... Data Science. Responsibility * Collaborate with cross‑functional teams to research, build and ... and/or assist when appropriate Job Designation Hybrid: Employee divides their time between ...

New

Research Coordinator I

Kirkland, WA · On-site +1

$31.79 - $50.85/hr

Great opportunity for a higher level Research Assistant or a junior level coordinator who wants to ... Bachelor's degree, in Science, Healthcare or a related field 1 year of experience in data ...

... Data Science. Responsibility * Collaborate with cross-functional teams to research, build and ... and/or assist when appropriate Job Designation Hybrid: Employee divides their time between in ...

Qualifications Required/minimum qualifications Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data ...

Senior Data Scientist

Seattle, WA · On-site

$140 - $207/hr

... Data Science. Responsibility * Collaborate with cross-functional teams to research, build and ... and/or assist when appropriate Job Designation Hybrid: Employee divides their time between in ...

New

... Data Science. Responsibility * Collaborate with cross-functional teams to research, build and ... and/or assist when appropriate Job Designation Hybrid: Employee divides their time between in ...

Showing results 41-60

Data Science Research Assistant information

See Seattle, WA salary details

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$24

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How much do data science research assistant jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for data science research assistant in Seattle, WA is $24.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.06 and $28.99 per hour, depending on experience, location, and employer.

What does a data science research assistant do?

A Data Science Research Assistant supports research projects by gathering, cleaning, and analyzing data using statistical and computational techniques. They assist senior researchers with designing experiments, developing models, and interpreting results. Typical tasks include data preprocessing, coding in languages like Python or R, literature reviews, and creating visualizations to summarize findings. Their work helps advance scientific knowledge and inform decision-making based on data-driven insights.

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

To thrive as a Data Science Research Assistant, you need a strong background in statistics, machine learning, and programming (often with a degree in computer science, statistics, or related fields). Familiarity with tools such as Python, R, Jupyter Notebooks, and data visualization libraries as well as experience with version control systems like Git is typical, and coursework or certifications in data science can be beneficial. Attention to detail, problem-solving ability, and strong communication skills are essential to effectively analyze data, interpret results, and collaborate with research teams. These skills and qualities are critical for producing reliable insights, supporting research objectives, and ensuring the integrity of data-driven projects.

How does a data science research assistant typically collaborate with other team members during a research project?

Data Science Research Assistants frequently work alongside data scientists, research leads, and subject matter experts to support ongoing research. Their responsibilities often include cleaning and preprocessing data, performing exploratory analyses, and implementing models. Regular collaboration occurs through team meetings, code reviews, and sharing findings, ensuring alignment with project goals. Open communication and adaptability are essential, as priorities and datasets can shift based on project needs.

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

AspectData Science Research AssistantData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's or higher in Data Analysis, Statistics, or related field
Work EnvironmentResearch labs, academic institutions, or research-focused organizationsBusiness settings, corporate offices, or consulting firms
Employer & Industry UsageUniversities, research institutes, government agenciesCorporations, marketing firms, finance, healthcare
Common Search & ComparisonYesNo

Data Science Research Assistants typically focus on supporting research projects through data collection, analysis, and modeling in academic or research settings. Data Analysts primarily interpret data to help organizations make business decisions. While both roles require strong analytical skills and knowledge of data tools, the research assistant role emphasizes academic research and experimentation, whereas data analysts focus on business insights and reporting.

What job categories do people searching Data Science Research Assistant jobs in Seattle, WA look for?

The top searched job categories for Data Science Research Assistant jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Data Science Research Assistant jobs?

Cities near Seattle, WA with the most Data Science Research Assistant job openings:

Infographic showing various Data Science Research Assistant job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $51,861 per year, or $24.9 per hour.

Data Science Manager, Finance and Strategy

Stripe

Seattle, WA • On-site, Remote

Full-time

Re-posted 14 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
  • A PhD, MS, or BS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering)
  • 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
  • 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