Key job responsibilities
* Design, implement, and evaluate innovative deep learning techniques to drive accuracy improvement
* Utilizing code (Python, R, Scala, SQL etc.) for analyzing data and building statistical and deep learning models
* Collaborate with a team of experienced scientists to drive technological advancements.
* Engage in research projects that contribute to the wider scientific community, sharing findings through publications in top-tier journals and conferences.
A day in the life
- 2+ years of machine learning, statistical modeling, data mining, and analytics techniques experience
- 2+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 2+ years of data scientist experience
- Bachelor's degree
- Experience with neural deep learning methods and machine learning
- Master's degree, or PhD
- 2+ years of implementing deep learning models in a production environment
- Experience processing, filtering, and presenting large quantities (Millions to Billions of rows) of data
- Natural curiosity and desire to learn
- Experience in forecasting and time series is a plus
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