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Quantitative User Researcher
Twitter
San Francisco, CA, United States
Job Details - this job has expired, please see similar jobs below
What you’ll do:
You’re an experienced researcher with a strong, working understanding of how to integrate qualitative and quantitative research methodologies. You know exactly when to engage with teams across Design, Product, Engineering, and Marketing, what questions to ask, where to probe, and how to implement the most effective research strategies. You thrive in a fast-paced environment and enjoy setting your own research goals, managing load and expectations, and delivering actionable research findings and recommendations. You’re passionate about Twitter and believe great experiences are always inspired by a deep understanding of the user.
Who you are:
• Work with Design, Engineering, Product, and Marketing to build in research at multiple stages of the product development process
• Help to develop and track quantitative measures of user experience (goals, metrics)
• Partner with product teams to identify where we should evaluate ideas, concepts, and existing experiences, and assist the team in making critical design decisions affecting the user experience
• Design the appropriate approach for a wide variety of user experience questions
• Collaborate closely with qualitative researchers and data scientists
• Mentor junior researchers
• Deliver timely and tangible findings and prioritized recommendations to stakeholders
• Balance company goals and business needs with user needs
• Help product teams more deeply understand our users, brands, and developers
Requirements:
• BS, MS, or PhD in Computer Science, Human-Computer Interaction, Statistics, Social Science or related field
• 5+ years conducting user experience research and/or market research is preferred - demonstrated expertise in a relevant field
• Experience working with large scale data sets (logs analysis, surveys, experimental design)
• Experience with large data technologies Hadoop, MapReduce, Pig, Spark, Hive, or Presto. Experience with Scalding a plus.
• Experience with applied statistics/econometrics and R, SPSS, SAS, or Python for statistical analyses a plus
• Ability to convey complex data in an accessible and meaningful way to non-quantitative audiences
We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
San Francisco applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.