Reporting to the Director of Artificial Intelligence, Accessibility and Sign Languages (AIASL), the Associate Data Analyst works with the team to visualize machine learning models, to understand the fairness, accountability, and transparency of the decision-making process.
Develops and evaluates existing visualization frameworks to evaluate AIASL datasets and models to completion and ensures adherence to committed project deliverables and timelines, independently and in cooperation with other staff members and external stakeholders.
Works with the team to use the generated visuals to interpret and retrace how the model generates its estimates and to develop metrics for fairness, accountability, or transparency; and identifies and analyzes misclassified instances with the help of confusion matrices or heatmaps, to help understand how instances are biased and how these biases are generated.
Assures the accuracy and integrity of data with the creation and maintenance of models, their outputs, and the interpretation of these according to in-house metrics.
Supports the preparation of reports, publications, and other forms of dissemination of research data and findings, independently and in collaboration with staff and external stakeholders.
Supports studies for recruitment, screening, scheduling, and compensation of participants/human subjects for research.
Assists with research, publications and other forms of dissemination of research data and findings, independently and in collaboration with staff members and external collaborators.
Ensures that knowledge, skills, and other abilities are updated in order to keep abreast of regulation/policy changes and knowledge of institutional research practices.
Pursues and maintains a positive and mutually supportive working relationship with co-workers and supervisor.
Participates in activities and workshops to foster continuous learning.
Establishes and maintains a positive and supportive working relationship with co-workers and supervisors.
Shows a genuine commitment to diversity, equity, and inclusion in the workplace; and participates in activities and workshops to foster continuous learning.
Serves as a mandatory Title IX reporter; and takes annual Title IX training as part of the compliance effort.
Performs other related duties as assigned.
Required Minimum Qualifications (When the candidate’s resume meets these qualifications, it will be screened in.)
Bachelor’s degree in machine learning, data science, human-computer interaction, accessibility, usability, social sciences, psychology, or a related field.
A minimum of two years of experience with statistics, data analysis, or a related field (college student work and/or internship experience will be considered).
Preferred Qualifications (While not required, it is an advantage for what the position needs.)
Ability to communicate in American Sign Language.
Knowledge, Skills and Abilities (Qualities that will help the incumbent be more successful in the position.)
Excellent communication and interpersonal skills.
Demonstrated ability to communicate effectively, including in writing, and to work independently.
Demonstrated ability to work with and across University departments, outside constituents and groups.
Demonstrated commitment to valuing diversity and contributing to an inclusive working and
Other Important Information:
This is a grant-funded position and is contingent upon the continuation of such funding.
This position is expected to report to work on campus. However, there may be opportunities for a hybrid work schedule based on performance and the needs of the department or the University.
This is a one-year extended temporary staff position with some benefits including health insurance, paid vacation and sick time, and paid holidays.
The extended temporary appointment may be renewed for another year or has an opportunity to convert to regular status with full benefits.
If the incumbent has no knowledge of American Sign Language, the incumbent is expected to achieve an ASLPI score of 1 plus within two years of employment. If the incumbent is hired with some knowledge of American Sign Language, the incumbent is expected to achieve an ASLPI score of 2 within two years of employment. The supervisor must ensure that the incumbent receives the necessary support to meet this goal.
All employees are expected to be fully vaccinated against COVID-19 (including the booster). They also will be required to submit their vaccination record within the first week of employment. If they cannot be fully vaccinated, they may apply for a medical or religious exemption.
The successful candidate will undergo a background check that must be cleared prior to working at Gallaudet University.
FLSA Exempt Status?
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Gallaudet University is an equal opportunity employer/educational institution and does not discriminate on the basis of race, sex, national origin, religion, age, hearing status, disability, genetic information, covered veteran status, marital status, personal appearance, sexual orientation, family responsibilities, matriculation, political affiliation, source of income, place of business or residence, pregnancy, childbirth, or any other unlawful basis. This policy is in compliance with Title VII of the Civil Rights Act, the Americans with Disabilities Act, the Rehabilitation Act, the Age Discrimination in Employment Act, the District of Columbia Human Rights Act, and other applicable laws and applies to all procedures affecting applicants and employees including, but not necessarily limited to: recruitment, hiring, placement, promotion, transfer, reassignment, reappointment, tenure, demotion, selection for training, layoff, furlough, and termination, compensation, and all other conditions or privileges of employment.