[Data] Statistician


Job title: Statistician

Category: Data

Position Summary:

Hyperconnect is looking for a seasoned statistician to join the team. Your primary responsibility will be to deep dive into our data to derive critical insights. This will be a multi-faceted role where you will partner with engineering to bring statistical models to life, provide executive decision support to separate “the signal from the noise,” and oversee product testing to ensure statistical validity.


  • Analyze petabytes of user data, developing and testing data-fueled hypotheses, extracting useful information and turning it into actionable insight
  • Develop and validate predictive models to solve critical business problems
  • Work with software engineers to deploy production applications powered by machine learning to improve user experiences
  • Effectively communicate findings to non-tech users to drive organizational action
  • Develop data tools to enable stakeholders to help themselves
  • Work closely with stakeholders to improve our data ecosystem

Minimum Qualifications:

  • Master’s degree in Statistics, Computer Science, Math, or an applied quantitative field
  • 3+ years of relevant experience
  • Strong background in regression analysis, causal inference, time series analysis, GLM, logistic regression, probability theory, regularization, and machine learning
  • Demonstrated proficiency in retrieving, cleaning, munging, visualizing, and modeling data
  • Firm grasp of SQL / NoSQL and Hadoop ecosystem (Hadoop, Hive, Spark, Presto)
  • Strong proficiency in R and/or Python
  • Excellent communication skills

Preferred Qualifications:

  • PhD in Statistics, Operations Research, Computer Science, Math, or an applied quantitative field
  • Mobile experience in messengers and/or games

Position Type/Expected Hours of Work:
This is a full-time position (Monday through Friday, 10:00 a.m. to 7 p.m)

Hiring process:
Documents screening > 1st round Interview > 2nd round interview> Job offer

Recruitment Period: On demand


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