Senior Quantitative Researcher (remote)

Employer
Team Go
Location
Remote, Oregon
Posted
Jun 11, 2021
Closes
Jun 15, 2021
Ref
2166603368
Hours
Full Time
Organization Type
Business

    • About Team Go

      We started on this mission by putting together a team of people to fix social isolation and bring people together to do things they love. By looking at how people make plans with one another, we built the Go app around peoples' existing behaviors, like sharing plans with our friends, inviting friends to collaborate, finding time to hang out--and making it all happen in real time, in real life.

      Go represents a new paradigm in social: no harvesting user data, a fully transparent revenue model, and a social technology company whose north star is Patagonia, not Palantir.

      The Role

      A successful Senior Quantitative Researcher is a person who loves why, when, how, and what we do in our social lives. This position is all about subtle nuances.

      The Senior Quantitative Researcher will have a deep understanding of cultural anthropology, ethnography, sociology, and linguistics, and will be able to translate this knowledge of social interaction into a discernable structure.

      The Senior Quantitative Researcher will build and iterate our taxonomy of activities from hyper-local dialectical variations to global trend updates. This position will be expected to be an expert on our internal activity ontology according to both institutional knowledge of demographic and sociocultural patterns, as well as your own regularly conducted user research.

      As a result of being an early hire in the Social Science unit, the successful applicant will have a heavy contributory hand in building out the department's methods, tools, and team.

      Responsibilities

      • Oversee demographic and region-specific human social activity and interest definitions
      • Gain insight into social activity correlations within and across populations
      • Gather and maintain systemic knowledge of all pertinent activity data at all stages of the data lifecycle- from capture to storage to analysis
      • Identify local terminology and slang for activities and interests, and integrate analogous terms for them into our ‘Activity Ontology' model
      • Identify and optimize ‘activity ontology' term heuristics that provide the end user with the most identifiable, simple, and positive nomenclature for their selected activity
      • Perform qualitative and quantitative assessments of activities created and attended by end-users (i.e. frequency, type, attendance size, etc.)
      • Continuously add to and refine our ‘Activity Ontology' databases and tools
      • Present findings relating to activity correlations, demographic and geographic variations, and activity ‘performance' (relative and absolute) to colleagues on a regular basis
      • Identify potential new features or feature enhancements, then working with the product and data science teams to come up with best possible solutions.
      • Research, create, and deploy end-user and business surveys as needed (new markets or research question evolution)
      • Perform additional analyses of activity data at regular intervals and as needed by leadership


      Important Skills

      • Data visualization and storytelling to translate complex scientific concepts into simple, understandable, and logical presentations
      • Knowledge of qualitative and quantitative data management
      • Strong understanding of basic statistics, including but not limited to
      • population sampling, power calculations, causal inference, basic predictive modeling (linear and logistic regression), multi-population comparative analyses, time series analyses
    • Decision tree creation and interpretation
    • Basic understanding of relational database architecture and data queries (SQL).
    • Familiarity with quantitative analysis tools such as R, Stata, or SPSS and qualitative analysis tools such as RQDA, NVivo, ATLAS.ti, MAXQDA, or similar.
    • No smart jerks, please:). We're a team of equals who welcome spirited debate in the hopes of building something bigger and better than the sum of our parts.


    Qualifications

    • At least 2-3 years experience as a working social scientist in the technology industry or adjacent
    • Advanced degree (Masters or PhD) in any of the following:
    • Anthropology
    • Sociology
    • Social Psychology
    • Linguistics
    • Ethnography

NOTE: Advanced degrees with similar focus to be assessed for relevance.
  • Samples of your work:
  • At least 3 pertinent publications as first or second author
  • At least 3 pertinent presentation examples
  • At least 1 analysis of a population survey conducted by you