ACT, Inc. Summer Internship: Research Data Scientist Intern in Lakewood, Colorado
ACT is a nonprofit organization helping people achieve educational and workplace success. Our programs are designed to boost lifelong learning in schools and workplaces around the world. Whether it's guiding students along their learning paths, enabling companies to develop their workforce, fostering parent, teacher, and counselor understanding of student progress, guiding job seekers toward career success, or informing policymakers about education and workforce issues. ACT is passionate about making a difference in all we do.
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Position is located in Lakewood, CO
Position objective: Are you passionate about using data visualization for complex and interesting problems? Do you have experience working with cutting-edge visualization frameworks to make data science findings meaningful for non-technical users? If so, we would like to talk with you about joining the research team at ACT as a summer intern to help people achieve education and workplace success.
ACT has an opening for a Research Data Scientist Summer Intern in our Data Science and Analytics group. This positionwill use their data visualization and machine learning expertise to prototype visualizations of the analytics results from ACT’s automated scoring engine, CRASE.
Project Work Description: A common critique machine learning is that their processes cannot be understood; which is necessary for stakeholders to use them to make decisions and assessments. The Research Data Scientist Intern will use their data visualization and machine learning expertise to prototype methods to transform feature-level information used for score prediction by ACT’s automated scoring engine, CRASE, into human-readable graphical representations for both technical and non-technical audiences. The methods developed will add transparency to how/why CRASE assigns scores and increase the ability of people to use the results.
Typical work-related activities include:
Exploring the intricacies of the CRASE engine feature extraction
Prototyping visualization libraries, plotting techniques, and data aggregation methods to automatically transform feature-level information into human-readable graphical representations for both technical and non-technical audiences
Collaborating cross-functionally with team members to evaluate the effectiveness of methods
Documenting and evaluating methods used
Presenting findings to internal stakeholders
Education Level: Pursuing Graduate or Doctoral degree
Program(s) of Study: Human-Computer Interaction, Computer Science, Machine Learning, Data Science, or a Related Quantitative Discipline
Knowledge, Skills and Abilities:
Demonstrated success creating visualizations based in predictive modelling or complex statistical analysis in an academic or industry context
Experience working with data visualization libraries such as Angular.js, d3.js, plotly.js
Experience planning, designing, and building visualizations
Strong grasp of Python including the pandas library
Experience developing machine learning and deep learning algorithms
Experience evaluating the effectiveness of machine learning and deep learning algorithms
Experience preforming natural language processing in Python
Exposure to machine learning and deep learning libraries in Python (like SciKit Learn, TensorFlow, etc.)
Motivation to use machine learning and deep learning to address real issues
Strong problem-solving capabilities
Ability to communicate technical ideas clearly in written English
Experience communicating technical information to both technical and non-technical audiences
Willingness to work collaboratively to solve problems
Research expertise and scholarly contributions in human-computer interaction or data science preferred
Experience working with Jupyter Notebooks
Interest in automated scoring
Experience or interest in the education industry
TravelNo Travel Required
ACT is an Equal Opportunity Employer/Minorities/Females/Protected Veterans/Disabled.