Quantitative UX Researcher

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profile Job Location:

Washington D.C., DC - USA

profile Yearly Salary: $ 120000 - 165000
Posted on: 10 hours ago
Vacancies: 1 Vacancy

Job Summary

The Quantitative UX Researcher is responsible for applying statistical analysis experimental design and data-driven methodologies to understand user behavior and inform product decisions. This role partners closely with product managers UX designers data scientists and engineers to transform large-scale user data into actionable insights that improve usability engagement and overall product experience.

The position operates fully remotely and requires a strong background in quantitative research methods analytics and user-centered product development.

This position is strictly limited to candidates who currently reside in the United States and are legally authorized to work in the U.S. Applications from individuals residing outside the United States will be rejected.

Key Responsibilities

  • Design and execute quantitative UX research studies including surveys experiments and A/B testing

  • Analyze large datasets to identify user behavior patterns product usage trends and experience gaps

  • Develop metrics frameworks to measure user experience effectiveness and product performance

  • Collaborate with product design and engineering teams to define research questions and success metrics

  • Translate complex data findings into clear actionable insights and recommendations

  • Partner with data analytics teams to build dashboards and standardized reporting processes

  • Conduct statistical modeling and hypothesis testing to evaluate product changes

  • Ensure research methodologies maintain scientific rigor and validity

  • Communicate research outcomes to stakeholders at all levels including executive leadership

  • Advocate for data-driven decision-making throughout the product lifecycle

Required Qualifications

  • Bachelors degree in Psychology Statistics Human-Computer Interaction Data Science Behavioral Science or related field

  • 47 years of experience in quantitative UX research product analytics or behavioral research

  • Strong knowledge of experimental design statistical analysis and survey methodology

  • Proficiency in statistical tools and programming languages (R Python SQL or similar)

  • Experience analyzing large-scale product or behavioral datasets

  • Strong data storytelling and communication skills

  • Ability to work independently and effectively in a remote environment

  • Excellent collaboration skills with cross-functional teams

Preferred Qualifications

  • Masters degree or Ph.D. in a quantitative or research-focused discipline

  • Experience with A/B testing platforms and experimentation frameworks

  • Familiarity with product analytics tools (Amplitude Mixpanel Google Analytics etc.)

  • Experience supporting consumer-facing or SaaS digital products

  • Knowledge of mixed-methods research combining quantitative and qualitative insights

Compensation

  • Annual Salary Range: $120000 $165000 USD based on experience research expertise and technical skill level

  • Performance-Based Bonus: Eligible depending on organizational goals and research impact

Benefits

  • Comprehensive medical dental and vision insurance

  • 401(k) retirement plan with employer matching

  • Paid time off paid holidays and sick leave

  • Life short-term and long-term disability insurance

  • Flexible remote work arrangement

  • Professional development research conferences and training reimbursement

  • Employee wellness and assistance programs

Work Authorization & Residency Requirement

  • Must be legally authorized to work in the United States

  • Must currently reside within the United States

  • Applications from candidates outside the U.S. will not be considered

The Quantitative UX Researcher is responsible for applying statistical analysis experimental design and data-driven methodologies to understand user behavior and inform product decisions. This role partners closely with product managers UX designers data scientists and engineers to transform large-s...
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Key Skills

  • Intelligence Community Experience
  • Python
  • Spss
  • Microsoft Word
  • R
  • Regression Analysis
  • Windows
  • Stata
  • Microsoft Powerpoint
  • Research Experience
  • Data Modeling
  • Writing Skills