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Design and Implement Advanced Learning Analytics Models and Visualizations for an Education Start-up

Industry Hi-Tech, Education

Specialization Or Business Function Engineering and Design

Technical Function Data Visualization (Dashboards & Scorecards, Data Mashups, Statistical Graphics, Chart (Quantities, Distributions, Correlations), Time Series, Hierarchy, Flow (Movement & Exchange), Matrix (Composition), Infographic), Analytics (Predictive Modeling, What if/Scenario Analysis, Trend Analysis, Risk Profiling, Real-time Analytics, Prescriptive Modeling, Machine Learning, Time Series Analysis, Regression Analysis, Program Evaluation)

Technology & Tools Programming Languages and Frameworks (R, Python)

CLOSED FOR BIDDING

Project Description

We are a Boston-based education technolgy fast emerging company delivering highly scalable, turnkey, cloud based learning data management and analytics enabling capabilities across the online education markets.

We are looking for a data scientist to work on learning analytics.  Your job will be to work on building a series of models and driving insights via visualizations and other API based delivery. 

The current and future digital world of online education is increasingly more federated across a wide spectrum of platforms and apps each with their own siloed data from multiple providers that are integrated to comprise online curriculums.  This creates many rich and interesting learning experiences but presents challenges with regard to providing a more holistic and unfied learning analytics solution.  The Intellify LIaaS cloud based platform of learning data management and analytics enabling services resolves these challenges very effectively with a comprehensive end-to-end solution for real-time collection, storage, access and advanced analytics.

We are seeking to augment our team with someone with strong data science skills and preferred domain knowledge and/or experience within learning science to leverage our platform to build advanced models for advanced correlative, predictive outcomes, at risk detection, and efficacy oriented analytics insights that can then be delivered via visualizaions, streams, alerts and / or other APIs.

The data scientist would need to spend some time with us in-person in Boston in the beginning and then this can be a remote position.

Project Overview

  • Posted
    November 18, 2015
  • Planned Start
    December 01, 2015
  • Delivery Date
    January 29, 2016
  • Preferred Location
    Boston, Massachusetts, United States

Client Overview


EXPERTISE REQUIRED

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