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Data Science Software Engineer

New York, NY or Remote

Plectica is looking for a Data Science Software Engineer to join our team as we build the next generation of content mapping tools. These are enterprise-strength tools anyone can quickly learn to use to map and track complex thoughts or systems of any kind. Our software is underpinned by the state of the art in systems thinking methodology and the pioneering work of our cofounder Dr. Derek Cabrera, an internationally renowned cognitive scientist based at Cornell University.

Systems Thinking is an increasingly popular method of analysis and problem solving, widely applicable in industry, government, not-for-profit, education, business, and civic sectors. Its real promise lies in visually unpacking complex systems, thereby helping experts develop solutions to seemingly intractable and often transdisciplinary issues, including those which contain competing interests and touch economic, political, social, and other systems.

This role is to work on our K-12 educational assessment tools as part of an initiative funded in part by an SBIR grant. Systems Thinking and specifically our approach, DSRP, has found traction at schools large and small, from elementary school to university settings. See RE:THINKING for more about how we can use this approach to replace shallow recall-based memorization learning with deep conceptual understanding. This work aims to use scale up these ideas in order to achieve a much broader impact.

Required skills:

  • Experience with Python and numpy.
  • Proficiency with libraries like scipy, scikit-learn, etc.
  • Proficiency with machine learning frameworks like tensor flow, keras, torch, or similar.
  • Experience building and training neural network models -- CNN, RNN, auto-encoders, and others.
  • Basic proficiency building web applications with JS / HTML / CSS.
  • Familiarity with web frameworks like flask, django.
  • Able to spearhead new projects from the ground up.

Bonus skills:

  • Interest/background in building K-12 education tools.
  • Proficiency with front end JS frameworks like angular and react.
  • Understanding of linguistic models like word-to-vec.
  • Background with other numerical computing frameworks like matlab, R, PDL, or similar.