• Lead Data Scientist

    Job Location US-DC
    Job ID
    10812
    Job Location
    United States
  • Overview

    Join our team of more than a hundred software engineers, designers, project managers and software specialists that are smart, creative and excited by what they do.

    Some of our ground-breaking work includes:
    • advanced computer-adaptive algorithms (only one that’s peer-approved in the country)
    • mobile support for the user interfaces
    • learning management systems with social media features
    • user interfaces that are universally accessible to people with or without disabilities
    • innovative, machine-scorable items

    The American Institutes for Research (AIR) is a leading professional services firm with a growing software engineering and product development team. We design and build things that are inspiring and make a real impact in the online testing industry. We are currently seeking a Lead Data Scientist to join our team in the Washington, DC office.

    Responsibilities

    • Work as a member of AIR’s Assessment division on cutting edge problems involving the use of machine learning, data analytics and AI
    • Develops software, algorithms and applications to apply mathematics to data and build data driven apps to translate data into computational intelligence around standardized tests for students
    • Processes large amounts of data for statistical modeling, and graphic analysis (metrics)
    • Applies mathematical theories and statistical methods to solve problems in computer science
    • Develops mathematical or statistical models of phenomena to be used for analysis or computational simulation
    • Designs complex metrics projects that apply valid scientific techniques and utilize information obtained from baselines or historical data in order to structure analyses
    • Build prototypes that can be seamlessly transitioned to production
    • Develops algorithms for data analysis
    • Apply state of the art machine learning techniques

    Qualifications

    • MS in Applied Mathematics, Statistics, Computer Science, Physics or Engineering and 8+ years of experience or a Bachelor's Degree in the above fields and 10+ years of experience
    • Demonstrated ability and understanding of data mining and machine learning algorithms
    • Experience with numerical methods
    • Background in deep learning, machine learning & big data
    • Experience designing systems using Python, R, Java or .NET languages
    • Hands-on experience with using machine learning frameworks such as Scikit-learn and a deep learning framework such as TensorFlow, Keras, Caffe, PyTorch or Theano
    • Must possess an analytical mindset and strong programming skills
    • Experience working on large data sets
    • Experience working with relational databases such as SQL Server
    • Strong written and oral communication skills, organizational skills, and attention to detail
    • Self-motivated with minimal oversight
    • Experience with deep learning models performing NLP tasks a plus

    *LI-MB1

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