Essential Duties
Develop and execute new and/or highly complex algorithms and statistical predictive models and determine analytical approaches and modeling techniques to evaluate potential future outcomes. Establish analytical rigor and statistical methods to analyze large amount of data, using advanced statistical techniques and mathematical analyses. Manage analytical projects from data exploration, model building, performance evaluation, through implementation. Develop work plans and monitor progress and project timelines. Document coding and changes to work plans using established work group methods in GitHub. Interact with a multidisciplinary team of internal and external peers to regularly, effectively, and openly communicate progress and outcomes of planned work. Attend weekly team meetings to discuss team and project-related activities, issues, change, communications, and updates.
Required Education and Experience
Master’s Degree in computer science, applied/computational mathematics, engineering, biostatistics, statistics, or a quantitative field such as astronomy or geology, economics, health policy, health services research, public policy, or a related field and two years of experience or an equivalent combination of education and experience.
Preferred Education, Experience and Skills:
Experience in leading conference publications, particularly in the deep learning field. Strong background in data analysis with a diverse set of platforms, such as Python and/or R. Knowledge of advanced analytic approaches, including signal processing, image analysis, supervised and unsupervised machine learning, and deep learning.
Required Skills:
- Expertise in working with Linux and Python.
- Ability to work with large structured and unstructured datasets, and GPU-accelerated computing.
- Sound background in theoretical and applied machine learning/deep learning with applications to either language, signals, or images.
- Demonstrated strong ability to communicate technical ideas and results to non-technical customers in written and verbal formats.
- Strong organizational, time management, and leadership skills. Ability and willingness to work in a highly collaborative team environment and matrixed organization.