Senior Manager, TMW Wearable Software

Department
 

BSD 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.

• Experien