Sr. Staff Quantitative Product Researcher, Monetization
Sr. Staff Quantitative Product Researcher, Monetization
Job Description
Responsibilities
- Work across monetization teams and collaborate with consumer facing orgs to define and address complex, monetization impacting ecosystem questions
- Proactively guide teams to the most important questions and problems; set the quantitative learning agenda for Monetization and decide on the best approaches
- Prioritize and conduct quantitative research that varies in approach, scale, scope, timeframe and methodology
- Explore the intersection of perceptions/attitudes and behaviors through surveys and deep behavioral analysis
- Participate in the development of user-centric metrics for Monetization teams and core user metrics
- Elevate topics from the learning agenda to present to senior leadership and tailor deliverables for these audiences
- Bring together a holistic understanding of the problem space from behavioral analyses, experiment learnings, qualitative insights to inform product and business decisions
- Lead strategic initiatives and engage in the development of strategy with Product, Design, Engineering, and Data Science partners
- Partner with research managers to set the quantitative research direction and provide guidance to more junior quantitative researchers
Qualifications
- Bachelor's/Master's degree in a relevant field such as human computer interaction or psychology or equivalent experience
- 7+ years of experience in quantitative product/user experience research with experience leading end-to-end quantitative research studies
- Knowledgeable of relevant statistical concepts (significance testing, regression/linear models)
- Experience with a wide range of quantitative research approaches and methods, experimentation at scale, various survey methodologies and advanced data techniques (Max Diff, Conjoint, Segmentations, Drivers Analysis)
- Experience with longitudinal analysis, multilevel/mixed effects modeling, and survey weighting
- Strong SQL and Quantitative Programming skills (R, Python, etc.)
- Ability to synthesize data from multiple sources (surveys, behavioral, 3rd party) to craft clear insights with strategic business impact
- Strong storytelling skills with experience turning data into actionable insights and socializing across different departments
Preferred Qualifications
- Experience with Ad product development/UX research
- Advanced degree in Statistics, Mathematics, or Economics
- PhD in computational social sciences (e.g. Economics, sociology, psychology), statistics, computer science, related field, or equivalent practical experience
Locations
- San Francisco, CA, US; Remote, US (Remote)
Salary
163,639 - 336,903 USD / yearly
Estimated Salary Rangemedium confidence
250,000 - 450,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Statistical concepts including significance testing, regression/linear modelsintermediate
- Quantitative research approaches, experimentation at scale, survey methodologies, advanced data techniques (Max Diff, Conjoint, Segmentations, Drivers Analysis)intermediate
- Longitudinal analysis, multilevel/mixed effects modeling, survey weightingintermediate
- SQLintermediate
- Quantitative Programming (R, Python)intermediate
- Data synthesis from surveys, behavioral data, 3rd party sourcesintermediate
- Storytelling and communication of data insightsintermediate
- Collaboration across cross-functional teamsintermediate
- Problem-solving in ambiguityintermediate
Required Qualifications
- Bachelor's/Master's degree in a relevant field such as human computer interaction or psychology or equivalent experience (experience)
- 7+ years of experience in quantitative product/user experience research with experience leading end-to-end quantitative research studies (experience)
- Knowledgeable of relevant statistical concepts (significance testing, regression/linear models) (experience)
- Experience with a wide range of quantitative research approaches and methods, experimentation at scale, various survey methodologies and advanced data techniques (Max Diff, Conjoint, Segmentations, Drivers Analysis) (experience)
- Experience with longitudinal analysis, multilevel/mixed effects modeling, and survey weighting (experience)
- Strong SQL and Quantitative Programming skills (R, Python, etc.) (experience)
- Ability to synthesize data from multiple sources (surveys, behavioral, 3rd party) to craft clear insights with strategic business impact (experience)
- Strong storytelling skills with experience turning data into actionable insights and socializing across different departments (experience)
Preferred Qualifications
- Experience with Ad product development/UX research (experience)
- Advanced degree in Statistics, Mathematics, or Economics (experience)
- PhD in computational social sciences (e.g. Economics, sociology, psychology), statistics, computer science, related field, or equivalent practical experience (experience)
Responsibilities
- Work across monetization teams and collaborate with consumer facing orgs to define and address complex, monetization impacting ecosystem questions
- Proactively guide teams to the most important questions and problems; set the quantitative learning agenda for Monetization and decide on the best approaches
- Prioritize and conduct quantitative research that varies in approach, scale, scope, timeframe and methodology
- Explore the intersection of perceptions/attitudes and behaviors through surveys and deep behavioral analysis
- Participate in the development of user-centric metrics for Monetization teams and core user metrics
- Elevate topics from the learning agenda to present to senior leadership and tailor deliverables for these audiences
- Bring together a holistic understanding of the problem space from behavioral analyses, experiment learnings, qualitative insights to inform product and business decisions
- Lead strategic initiatives and engage in the development of strategy with Product, Design, Engineering, and Data Science partners
- Partner with research managers to set the quantitative research direction and provide guidance to more junior quantitative researchers
Tags & Categories
Sr. Staff Quantitative Product Researcher, Monetization
Sr. Staff Quantitative Product Researcher, Monetization
Job Description
Responsibilities
- Work across monetization teams and collaborate with consumer facing orgs to define and address complex, monetization impacting ecosystem questions
- Proactively guide teams to the most important questions and problems; set the quantitative learning agenda for Monetization and decide on the best approaches
- Prioritize and conduct quantitative research that varies in approach, scale, scope, timeframe and methodology
- Explore the intersection of perceptions/attitudes and behaviors through surveys and deep behavioral analysis
- Participate in the development of user-centric metrics for Monetization teams and core user metrics
- Elevate topics from the learning agenda to present to senior leadership and tailor deliverables for these audiences
- Bring together a holistic understanding of the problem space from behavioral analyses, experiment learnings, qualitative insights to inform product and business decisions
- Lead strategic initiatives and engage in the development of strategy with Product, Design, Engineering, and Data Science partners
- Partner with research managers to set the quantitative research direction and provide guidance to more junior quantitative researchers
Qualifications
- Bachelor's/Master's degree in a relevant field such as human computer interaction or psychology or equivalent experience
- 7+ years of experience in quantitative product/user experience research with experience leading end-to-end quantitative research studies
- Knowledgeable of relevant statistical concepts (significance testing, regression/linear models)
- Experience with a wide range of quantitative research approaches and methods, experimentation at scale, various survey methodologies and advanced data techniques (Max Diff, Conjoint, Segmentations, Drivers Analysis)
- Experience with longitudinal analysis, multilevel/mixed effects modeling, and survey weighting
- Strong SQL and Quantitative Programming skills (R, Python, etc.)
- Ability to synthesize data from multiple sources (surveys, behavioral, 3rd party) to craft clear insights with strategic business impact
- Strong storytelling skills with experience turning data into actionable insights and socializing across different departments
Preferred Qualifications
- Experience with Ad product development/UX research
- Advanced degree in Statistics, Mathematics, or Economics
- PhD in computational social sciences (e.g. Economics, sociology, psychology), statistics, computer science, related field, or equivalent practical experience
Locations
- San Francisco, CA, US; Remote, US (Remote)
Salary
163,639 - 336,903 USD / yearly
Estimated Salary Rangemedium confidence
250,000 - 450,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Statistical concepts including significance testing, regression/linear modelsintermediate
- Quantitative research approaches, experimentation at scale, survey methodologies, advanced data techniques (Max Diff, Conjoint, Segmentations, Drivers Analysis)intermediate
- Longitudinal analysis, multilevel/mixed effects modeling, survey weightingintermediate
- SQLintermediate
- Quantitative Programming (R, Python)intermediate
- Data synthesis from surveys, behavioral data, 3rd party sourcesintermediate
- Storytelling and communication of data insightsintermediate
- Collaboration across cross-functional teamsintermediate
- Problem-solving in ambiguityintermediate
Required Qualifications
- Bachelor's/Master's degree in a relevant field such as human computer interaction or psychology or equivalent experience (experience)
- 7+ years of experience in quantitative product/user experience research with experience leading end-to-end quantitative research studies (experience)
- Knowledgeable of relevant statistical concepts (significance testing, regression/linear models) (experience)
- Experience with a wide range of quantitative research approaches and methods, experimentation at scale, various survey methodologies and advanced data techniques (Max Diff, Conjoint, Segmentations, Drivers Analysis) (experience)
- Experience with longitudinal analysis, multilevel/mixed effects modeling, and survey weighting (experience)
- Strong SQL and Quantitative Programming skills (R, Python, etc.) (experience)
- Ability to synthesize data from multiple sources (surveys, behavioral, 3rd party) to craft clear insights with strategic business impact (experience)
- Strong storytelling skills with experience turning data into actionable insights and socializing across different departments (experience)
Preferred Qualifications
- Experience with Ad product development/UX research (experience)
- Advanced degree in Statistics, Mathematics, or Economics (experience)
- PhD in computational social sciences (e.g. Economics, sociology, psychology), statistics, computer science, related field, or equivalent practical experience (experience)
Responsibilities
- Work across monetization teams and collaborate with consumer facing orgs to define and address complex, monetization impacting ecosystem questions
- Proactively guide teams to the most important questions and problems; set the quantitative learning agenda for Monetization and decide on the best approaches
- Prioritize and conduct quantitative research that varies in approach, scale, scope, timeframe and methodology
- Explore the intersection of perceptions/attitudes and behaviors through surveys and deep behavioral analysis
- Participate in the development of user-centric metrics for Monetization teams and core user metrics
- Elevate topics from the learning agenda to present to senior leadership and tailor deliverables for these audiences
- Bring together a holistic understanding of the problem space from behavioral analyses, experiment learnings, qualitative insights to inform product and business decisions
- Lead strategic initiatives and engage in the development of strategy with Product, Design, Engineering, and Data Science partners
- Partner with research managers to set the quantitative research direction and provide guidance to more junior quantitative researchers
Tags & Categories