• Data Scientist II

    Job Locations US-IA-Iowa City
    Posted Date 6 days ago(8/8/2018 1:59 PM)
    Job ID
    2018-1306
    # of Openings
    1
    Category
    Research
    Travel
    No Travel Required
  • Overview

    Are you passionate about solving big scientific problems in education through innovative technology and working in a highly multi-disciplinary collaborative environment? Would you like to know more about how computer vision, affective computing and machine learning are helping create new forms of learning and assessment tools? If this sounds intriguing, then we’d like to talk to you about a role as part of a new ACTNext ACT R&D team tackling a set of problems requiring significant innovation.


    ACTNext has an opening for a Data Scientist II in the AI and Machine Learning group. This newly established group is pursuing cutting edge multidisciplinary research in creating a new generation of learning and assessments targeting modern educational paradigms including adaptive learning, educational content development, educational games and various forms of behavioral and in vivo assessments. We are conducting research on using rich multi-sensory data including audio and video and recent advances in NLP, computer vision, affective computing, psychometric analysis and cognitive science to build some of most advanced dynamic models for educational assessment in authentic, real-world scenarios. This is an excellent opportunity to be a part of a research and development team and make an impact with innovative education technology.

     


    Responsibilities

    TYPICAL DUTIES AND RESPONSIBILITIES 

    • Deliver data science projects from beginning to end, including understanding the business need, aggregating data, exploring data, building and validating predictive models, and deploying completed models to deliver business impact to the organization
    • Utilizing open source software for multi-sensory data capture and analysis with machine learning models (e.g. LibSVM, TensroFlow etc.)
    • Developing and running different algorithms for detecting features from multiple sensory data including text, audio and video. Fusing data and features from multiple modalities. Building discriminating classifiers, generative models and running analyses. These could be computer vision, NLP, statistical and / or machine learning algorithms
    • Building models for educational data mining and analysis of student/learning activity process data. Performing statistical analyses such as multivariate linear and logistic regression
    • Make scholarly contributions through research publications and provide technical documentation of data science projects including presentations, technical reports and code documentation
    • Collaborate cross-functionally with product managers, assessment designers, psychometricians, research scientists, engineers, and analysts

     

    Qualifications

    Minimum Qualifications

     

    Education: 

     

    • Master’s degree required, preferably in Computer Science with a focus on data science fields such as machine learning, data mining, etc.
    • Or an equivalent combination of education and experience from which comparable knowledge and abilities can be acquired

     

    Experience:

    • A minimum of 3 years of related experience that includes:
      • Demonstrated success conducting predictive modeling, data science, and analysis projects
      • Solid programming experience utilizing Python and or R, Java, C, C++.
      • Experience using cloud computing for data science such as AWS, Azure, TensorFlow
    • Research expertise and scholarly contributions in data science preferred
    • Experience in deep learning is a plus.
    • Experience in educational data mining and education industry is a plus. 

     

    Knowledge, Skills and Abilities:

    • Excellent oral and written communication skills
    • Ability to collaborate with others
    • Demonstrated willingness to both teach others and learn new techniques
    • Agile and innovative mindset
    • Ability to take initiative

     

     

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