Job Description :

Engagement Overview
As a user study team, we are looking for an experienced / senior Backend OR Full Stack Engineer to help us update/maintain our existing study data pipeline and help bring up some ML application. The ideal candidate is able to:

  • Understand complex data pipelines and learn quickly how to maintain/upgrade them
  • Get familiar with the data being collected and look for ways to make data collection/cleaning/storage more efficient
  • Build new backend tools to help with data collection on Apple Silicon
  • Can apply ML methods to help with data analysis (regression, sentiment analysis, computer vision, etc…)
  • Work cross-functionally and adapt analysis quickly
  • Bonus: if Full stack engineer, a bonus would be building E2E applications (backend and frontend) on iOS devices (using Xcode)

The candidate has to be able to work exceptionally well and efficiently in a fast-paced environment and multitask between data analysis requests, tasks and projects.
Skills

  • Pro level Python
  • R
  • Track record working with complex datasets + integration across multiple systems
  • Data Viz tools like R Shiny, Tableau
  • Excellent communication skills
  • Statistical analysis (hypothesis testing, statistical modeling, power analysis …)
  • Git
  • Very well organized
  • Work exceptionally well in a fast-paced environment, and be able to multitask between tasks/projects

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

             

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