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Lead Data Scientist

District of Columbia AIR (The American Institutes for Research)

Job Location US-DC

Job ID 10848
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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