Department
About the Department
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.
Job Summary
We are searching for a strategic and inquisitive senior data scientist to develop and optimize innovative AI-based models focused on speech/audio processing. The senior data scientist is expected to outline requirements, brainstorm ideas and solutions with leadership, manage data integrity and conduct experiments, assign tasks to junior staff, and monitor performance of the team.
Responsibilities
Formulates, suggests, and manages data-driven projects to support the development of audio algorithms and use cases.
Analyzes data from various entities for later use by junior data scientists.
Assesses scope and timelines, prioritize goals, and prepare project plans to meet product and research objectives.
Delegates tasks to junior data scientists and provide coaching to improve quality of work.
Continuously trains and nurtures data scientists to take on bigger assignments.
Provides leadership in advancing the science of TMW Center interventions by generating new ideas and collaborating with the research analysis team.
In collaboration with CTO, selects and guides decisions on statistical procedures and model selections, including conducting exploratory experiments to develop proof of concept.
Cross-validate models to ensure generalization and predictability.
Stays informed about developments in Data Science and adjacent fields to ensure most relevant methods and outputs are being leveraged.
Ensures data governance is in place to comply with regulations and privacy standards and maintain documentation of methodologies, coding, and results.
Designs new systems, features, and tools. Solves complex problems and identifies opportunities for technical improvement and performance optimization. Reviews and tests code to ensure appropriate standards are met.
Utilizes technical knowledge of existing and emerging technologies, including public cloud offerings from Amazon Web Services, Microsoft Azure, and Google Cloud.
Acts as a technical consultant and resource for faculty research, teaching, and/or administrative projects.
Performs other related work as needed.
Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field.---
Work Experience:
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Certifications:
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Preferred Qualifications
Education:
Master’s degree in Computer Science, Statistics, Mathematics, or Economics with a focus on computer science.
Experience:
Experience with Machine Learning and LLMs.
Experience working on audio or speech data.
Experience implementing edge models using TensorFlow micro, TensorFlow lite, and corresponding quantization techniques.
Experience building audio classification models or speech to text models.
Experience using the latest pre-trained models such as whisper and wav2vec.
Proven experience taking an idea or user need and translating it into fully realized applications.
Ability to relay insights in layman’s terms to inform business decisions.
3+ years leading and managing junior data scientists.
Technical Skills or Knowledge:
Proficiency in Python, Pytorch, Tensorflow, TinyML, Pandas and Numpy.
Experience with cloud environments such as AWS, Azure or GCloud.
Experience with command line interfaces (Linux, SSH).
Experience processing large datasets with Spark, Dask or Ray.
Application Documents
Resume (required)
Cover Letter (preferred)
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Role Impact
FLSA Status
Pay Frequency
Scheduled Weekly Hours
Benefits Eligible
Drug Test Required
Health Screen Required
Motor Vehicle Record Inquiry Required
Posting Statement
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