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UX Researcher, Quantitative (PhD)

Meta

UX Researcher, Quantitative (PhD)

Meta

New York, NY

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Design tool subscriptions

Health benefits

Creative environment

Conference budget

Healthcare

Required Skills

Sketch

Framer

Adobe Creative Suite

About Us

Meta builds technologies that help people connect, find communities and grow businesses.

Size: 10000+ employees
Industry: Engineering, Social Media, Technology

View Company Profile

Our UX Research team is designing for the global spectrum of human needs, which requires us to deeply understand the behaviors of the people behind them. Our researchers tackle some of the most complex challenges to gain deeper insights into how people interact with each other and the world around them, and work collaboratively to contribute new ideas to products that impact the experiences of billions of people on a global scale. This job description represents different full-time roles across Meta.We use a variety of qualitative and quantitative methods to accomplish our goals, including surveys, focus groups, field studies, usability tests, and 1:1 interviews. We value a wide range of perspectives and stem from many different perspectives, approaches, experiences and backgrounds.We're looking for excellent communicators who are knowledgeable about research devoted to understanding people, and curious about the relationship between technology and society. They will also need to be comfortable in a fast-moving organization, open-minded about learning new research methods, committed to high-quality and rigorous research, and focused on influencing the future of Meta.

UX Researcher, Quantitative (PhD) Responsibilities:

  • Work closely with product and business teams to identify research topics
  • Act as a thought leader in the domain of research, while advocating for the people who could use our products
  • Design and execute end-to-end custom primary research using a wide variety of methods
  • Design studies that address both user behavior and attitudes
  • Effectively manage and prioritize research plans through ambiguous and fast-changing environments, align and efficiently execute critical insights and work with a large group of stakeholders
  • Communicate results and illustrate suggestions in compelling and creative ways
  • Work cross-functionally with design, product management, content strategy, engineering and marketing
  • Generate insights that both fuel ideation and evaluate designs

Minimum Qualifications:

  • Currently has or in the process of obtaining PhD in a human behavior-related field, such as Human-Computer Interaction, Psychology, Sociology, Communication, Anthropology, Information Science, Computer Science, or Political Science. Degree must be completed prior to joining Meta
  • Experience coding with R, SQL, STATA, SPSS or equivalent
  • Experience with survey design and response effects
  • Interest in and experience executing hands-on, primary research
  • Experience translating research findings into strategic narratives
  • Experience applying statistical analysis methods such as Regressions, ANOVA, and T-Tests
  • Experience working independently and autonomously
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:

  • Experience with consumer products, consumer insights, or product development

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

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Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.$103,000/year to $166,000/year + bonus + equity + benefits Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Client-provided location(s): New York, NY

Job ID: a1KDp00000CZJRlMAP_1001

Employment Type: FULL_TIME

Posted: 2025-12-19T19:54:23
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Perks and Benefits

Health and Wellness

  • Health Insurance
  • Health Reimbursement Account
  • Dental Insurance
  • Vision Insurance
  • Life Insurance
  • Short-Term Disability
  • Long-Term Disability
  • FSA
  • FSA With Employer Contribution
  • HSA
  • HSA With Employer Contribution
  • Fitness Subsidies
  • On-Site Gym
  • Mental Health Benefits

Parental Benefits

  • Birth Parent or Maternity Leave
  • Non-Birth Parent or Paternity Leave
  • Fertility Benefits
  • Adoption Assistance Program
  • Family Support Resources

Work Flexibility

  • Flexible Work Hours
  • Remote Work Opportunities
  • Hybrid Work Opportunities

Office Life and Perks

  • Commuter Benefits Program
  • Casual Dress
  • Happy Hours
  • Snacks
  • Some Meals Provided
  • Company Outings
  • On-Site Cafeteria
  • Holiday Events

Vacation and Time Off

  • Paid Vacation
  • Unlimited Paid Time Off
  • Paid Holidays
  • Personal/Sick Days
  • Sabbatical
  • Leave of Absence

Financial and Retirement

  • 401(K)
  • 401(K) With Company Matching
  • Pension
  • Company Equity
  • Performance Bonus
  • Relocation Assistance
  • Financial Counseling

Professional Development

  • Learning and Development Stipend
  • Promote From Within
  • Mentor Program
  • Shadowing Opportunities
  • Access to Online Courses
  • Lunch and Learns
  • Internship Program

Diversity and Inclusion

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About Meta

Meta

Meta

Public

A social technology company that enables people to connect, find communities, and grow businesses.

10,001+

Employees

Menlo Park

Headquarters

$800B

Valuation

Reviews

3.4

26 reviews

Work Life Balance

2.3

Compensation

4.2

Culture

2.8

Career

3.1

Management

2.1

45%

Recommend to a Friend

Pros

Excellent compensation and benefits

Smart and talented colleagues

Fast-paced and challenging work environment

Cons

Frequent layoffs and job insecurity

Poor leadership and management accountability

High stress and competitive work environment

Salary Ranges

40,175 data points

Mid/L4

Mid/L4 · Data Scientist

3,113 reports

$284,667

total / year

Base

$179,458

Stock

$79,981

Bonus

$25,228

$193,897

$434,902

Interview Experience

6 interviews

Difficulty

4.2

/ 5

Duration

21-35 weeks

Offer Rate

17%

Experience

Positive 17%

Neutral 17%

Negative 66%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Coding Interviews

6

System Design Interview

7

Behavioral Interview

8

Final Loop/Hiring Manager Round

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Live Coding