Lyft

Quantitative UX Researcher

Company:
Lyft
Location:
🇺🇸
San Francisco, CA
Posted on:
October 29, 2020

At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

As metropolitan cities grow, Lyft aims to transform the way people move through these cities. Essential to this goal is creating an understanding of people and their transportation needs. Understanding people means exploring their attitudes, behaviors, and the relations between them.

Lyft is looking for an experienced Quantitative UX Researcher to join our Design+ team and help to further build out what the Quantitative UX Research discipline is at Lyft. In this role you’ll partner with Researchers, Designers, Product Managers, Data Scientists, and Engineers to identify deep insights and communicate across the company. You’ll conduct generative and evaluative explorations to inform Lyft’s understanding of riders and drivers. Your work will inspire and enhance the user experience across 300+ cities nationwide and in Canada.

You are a flexible team player that excels in an energetic work environment. You’re able to lead research projects autonomously and bring clarity to the unknown. You have a proven track record of establishing Quantitative UX Research methods at previous companies and care deeply about creating experiences that increase understanding of what this role can do to improve user experience.

Responsibilities

  • Lead the strategic growth of this discipline on the UX research team, building strong relationships with the Product, Data Science, Engineering, and Design teams
  • Act as a thought leader in domain of research, while advocating for people who use our products
  • Design and execute studies that address both user behavior and attitudes, using the right methodology for the right questions
  • Generate insights that shape how product teams think about medium and long term product strategy
  • Communicate insights in creative and compelling ways
  • Mentor other researchers, and maintain our team's high standard of work

Experience

  • 5+ years experience conducting quantitative research in applied research settings, ideally within a consumer product organization
  • MA/MS/PhD, human behavior related field (HCI, Psychology, Sociology, Information Science, Economics, Political Science, etc.)
  • Expert in quantitative research methods, experiment design, mix-methods, survey design & analysis, data visualization, and coding in relevant data tools like R, SQL, and Python
  • Experience working with large-scale data in multi-method studies
  • Knowledge of qualitative, design, and market research methods and approaches
  • Proven leader who excels at establishing and growing research disciplines

Benefits

  • Great medical, dental, and vision insurance options
  • Mental health benefits
  • In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off
  • 401(k) plan to help save for your future
  • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
  • Pre-tax commuter benefits
  • Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

Lyft is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Lyft does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Lyft will also consider for employment qualified applicants with arrest and conviction records.

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