Remote Senior Quantitative Researcher Jobs
Remote Senior Quantitative Researcher jobs are open across the U.S. at remote-first firms and distributed teams in finance, technology, and data-driven industries. Employers hiring remotely right now include ZS Associates, ICF, and deCircle. See the openings below and apply to the ones that match your experience.
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Description
We are seeking a Lead mixed-methods researcher to join a multidisciplinary dynamic contractor team supporting a federal agency’s customer experience and human-centered design initiatives. In this role, you will lead research efforts that generate actionable, data‑driven insights to inform service design, digital product development, and policy decisions. You will work closely with stakeholders, CX strategists, designers, data analysts, engineers, and technologists to ensure that customer voices are embedded throughout the product and service lifecycle.
Key Responsibilities:
Design and lead quantitative and qualitative research studies including surveys, interviews, usability tests, and ethnographic methods.
Lead survey strategy and creation, deployment, and analysis of results to uncover actionable insights and measure customer sentiment.
Ensure research practices comply with ethical standards, including informed consent and protection of personally identifiable information.
Synthesize qualitative and quantitative data into clear, compelling insights that inform design, product, and policy decisions.
Translate findings into research artifacts such as reports, personas, journey maps, service blueprints, and data visualizations.
Provide strategic direction to analysts on data visualization approaches, ensuring insights are understandable and actionable.
Present findings to stakeholders across government agencies, including senior leaders, advocating for customer-centered improvements.
Partner with CX strategists, service designers, data scientists, and technologist to validate concepts, improve usability, and enhance service delivery.
Apply Human-Centered Design and service design principles across digital and non-digital touchpoints.
Contribute to Voice of the Customer (VoC) programs by analyzing feedback channels, comment streams, and behavioral data. Contribute to a research strategy and roadmap aligned with program and agency priorities.
Collaborate with stakeholders to define CX success metrics and evaluate the impact of research‑driven recommendations on service quality and outcomes.
Support continuous improvement efforts by linking research insights to service performance and outcomes.
Thrive in a fast-paced contractor environment, adapting to evolving priorities and collaborating across multiple teams and disciplines.
Required Qualifications:
7+ years of experience in UX/CX research, market research, human factors, behavioral science, or related disciplines.
Bachelor’s degree
US Citizenship is required by the federal government for this position
Must be able to obtain Public Trust clearance.
MUST RESIDE IN THE United States (U.S.) and the work MUST BE PERFORMED in the United States (U.S.), as this work is for a federal contract and laws do apply.
Preferred Qualifications:
Figma for collaborating, workshopping, prototyping and wireframing
Qualtrics for survey deployment and analytics
Usertesting.com or similar platforms for usability testing or interviews
Microsoft Office for analysis, reporting, and cross-team collaboration
Familiarity with Tableau, Power BI, or similar tools for data visualization
Demonstrated expertise in both qualitative and quantitative research methods, including advanced survey design and mixed-methods synthesis.
Proven experience conducting service design and customer experience research (e.g., journey mapping, VoC programs, pain‑point identification).
Demonstrated experience working with federal agencies
Working at ICF
ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy.
We will consider for employment qualified applicants with arrest and conviction records.
Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act.
Candidate AI Usage Policy
At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.
However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.
Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.
The pay range for this position based on full-time employment is:
$119,323.00 - $202,850.00 Nationwide Remote Office (US99)See All 9 Remote Senior Quantitative Researcher Jobs
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Who's Hiring



What Employers Look For
The qualifications that appear most often in remote senior quantitative researcher jobs.
- PhD in mathematics, statistics, physics, computer science, or a related quantitative field
- Advanced proficiency in Python or R for statistical modeling and data analysis
- Experience building and validating predictive models in a live or near-production environment
- Strong command of probability theory, stochastic calculus, and time-series analysis
- Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Demonstrated ability to communicate complex quantitative findings to non-technical stakeholders
Tips for Your Remote Senior Quantitative Researcher Job Search
Apply early to remote roles that fit
Migrate Mate lists remote senior quantitative researcher openings from across the U.S. in one place. Searching regularly and applying as soon as a role matches your background gives you an advantage before pipelines fill.
Build an async-ready research portfolio
Remote quantitative employers expect candidates to communicate methodology clearly in writing, not just in person. Document your models, assumptions, and results in written reports or notebooks that demonstrate you can collaborate without real-time explanation.
Signal deep proficiency in remote collaboration tools
Distributed research teams rely on version-controlled codebases, shared notebooks, and async code review. Showing fluency with Git, Jupyter, and collaborative environments like cloud-based workspaces tells remote employers you'll integrate without friction.
Prepare for take-home modeling assessments
Remote interviews for senior quantitative researcher roles often include multi-day take-home problems instead of live whiteboard sessions. Practice producing clean, well-documented solutions under realistic conditions, because presentation and reproducibility matter as much as the answer.
Remote Senior Quantitative Researcher Jobs: Frequently Asked Questions
How do I get a remote senior quantitative researcher job?
Target companies with distributed research teams, particularly in fintech, asset management, and tech, where remote quantitative roles are most common. Remote employers screen for strong self-direction, clear written communication, and the ability to collaborate asynchronously. Candidates who can document their modeling work, explain methodology in writing, and demonstrate independent delivery on complex research problems have a clear edge.
Which companies hire remote senior quantitative researchers?
Remote senior quantitative researcher roles are posted by ZS Associates, ICF, and deCircle and others right now, based on current remote listings on Migrate Mate as of August 2026. These include remote-first firms, distributed hedge funds and trading firms, and technology companies running decentralized research teams across sectors like finance, insurance, and data analytics.
Can you get a remote senior quantitative researcher job with no experience?
Yes, but remote entry-level quantitative researcher roles are harder to land because you're expected to work independently from day one with minimal in-person guidance. Remote-first startups and research-heavy tech companies are more open to early-career candidates. Showing a strong portfolio of quantitative projects, published models, or graduate research can substitute for direct industry experience and open remote doors.
Do you need a degree for remote senior quantitative researcher jobs?
Usually, but remote employers weigh demonstrated skills heavily alongside formal credentials. Most remote senior quantitative researcher roles expect a graduate degree in mathematics, statistics, economics, or a related field. Candidates without a traditional background can compete by showing rigorous self-directed work, published research, open-source contributions, or measurable results from prior quantitative projects.
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