at University of Chicago in Chicago, Illinois, United States
Job Description
DepartmentBSD SUR - OHNS: Thirty Million Words - Tech
About the Department
The TMW Center for Early Learning + Public Health at the University of Chicago develops, tests, and implements evidence-based interventions designed to promote very young children's cognitive and social-emotional development, with a priority placed on that of children living in poverty. TMW Center interventions are designed to be overlaid onto existing health, education, and social service systems working at scale in a given community in order to meet families where they already are. The TMW Center has a robust research and development strategy that includes further development and testing of TMW interventions; harnessing technology to support behavior change, intervention engagement, and analysis; and furthering strategies to engage parents in the TMW Center's interventions across the health, early learning, and social service sectors.
Job Summary
The TMW Center for Early Learning + Public Health (TMW Center) develops science-based interventions, tools, and technologies to help parents and caregivers interact with young children in ways that maximize brain development. A rich language environment is critical to healthy brain development, however few tools exist to measure the quality or quantity of these environments. Access to this type of data allows caregivers to enhance interactions in real-time and gives policy-makers insight in how to best build policies that have a population-level impact.
The wearable team within TMW Center is building a low-cost wearable device that can reliably and accurately measure a child's early language environment vis-à-vis the conversational turns between a child and caregiver. The goal is to provide accurate, real-time feedback that empowers parents and caregivers to create the best language environment for their children.
The TMW Center is looking for a Senior Data Scientist to support the wearable team in the development of this wearable technology. As a member of the TMW Center's wearable team, the Data Science Analysts will develop, test, and validate existing machine learning algorithms, train new algorithms, lead ETL efforts, and partner with other team members and vendors to connect the algorithm, hardware and firmware pieces together. The TMW Center seeks candidates who are dynamic, collaborative, and curious.
Candidates are encouraged to include a link to an online portfolio of work, such as a GitHub profile.
Responsibilities
- Support the development of the TensorFlow framework, Neural Network design and custom testing developed for the project.
- Improve the model's results.
- Develop a more critical view of Machine Learning models' performance not only from the traditional metrics but on custom multi-dimensional metrics and adding a business perspective.
- Support work related to audio processing, featurization and the creation of an efficient pipeline for data processing and model testing.
- Collaborate with team of Data Scientists.
- Write code as needed.
- Collaborate with team and external vendors(hardware,firmware, electrical engineers)and weigh in on requirements to run the algorithms.
- Provide technical lead support for RAs and potentially other vendors RAs, fellows, and staff.
- Has a deep understanding of methods to analyze complex data sets for the purpose of extracting and purposefully using applicable information. May develop and maintain infrastructure that connects data sets.
- Calibrates data between large and complex research and administrative datasets. Guides and may set the operational protocols for collecting and analyzing information from the University's various internal data systems as well as from external sources.
- Designs and evaluates statistical models and reproducible data processing pipelines using expertise of best practices in machine learning and statistical inference. Provides expertise for high level or complex data-related requests and engages other IT resources as needed. Partners with other campus teams to assist faculty with data science related needs.
- Performs other related work as needed.
Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field.
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Work Experience:
Minimum requirements include knowledge and skills developed through 5-7 years of work experience in a related job discipline.
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Certifications:
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Preferred Qualifications
Experience:
- Experience with Arduino or hardware integration.
- Experience developing and implementing machine learning solutions for real world use.
- Experience handling terabyte size datasets.
Technical Skills or Knowledge:
- Proficiency in Python, Numpy, Pandas and Scikit-Learn.
- Ability to write production-level code.
- Track record of diving into data to discover hidden patterns.
- Experience with cloud resources such as Amazon Web Services (including AWS Redshift, Amazon RDS, and Amazon Aurora).
- Experience using Linux.
Preferred Competencies
- Strong analytical skills, problem-solving, and organizational skills.
- Project management and proven problem solving and analytical skills.
Application Documents
- Resume/CV (required)
- Cover Letter (required)
When applying, the document(s) MUSTbe uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Research
Role Impact
Individual Contributor
FLSA Status
Exempt
Pay Frequency
Monthly
Scheduled Weekly Hours
40
Benefits Eligible
Yes
Drug Test Required
No
Health Screen Required
No
Motor Vehicle Record Inquiry Required
No
Posting Statement
The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, national or ethnic origin, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.
We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange.
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.
The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at:http://securityreport.uchicago.edu.Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.
