USGS Position in Machine Learning for Water Science

[Alison Appling]

The USGS water data science group in Middleton, Wisconsin is seeking applicants to the following permanent position for a Mathematical Statistician with expertise in machine learning. Background in water sciences is appreciated but not required. Please share this opportunity with any colleagues who might be interested.

https://www.usajobs.gov/GetJob/ViewDetails/547203300

Applications will be accepted October 1-14, 2019.

As a Mathematical Statistician within the Integrated Information Dissemination Division of the Data Science Branch, some of your specific duties will include:

• Researches existing machine learning techniques, and applies appropriate methods towards prediction.

• Applies deep learning frameworks (e.g., PyTorch, TensorFlow) to a variety of problems, including time-series modeling and outlier detection.

• Engages colleagues on hybrid modeling techniques, including efforts to combine theory and empirical (e.g., machine learning) models.

• Employs analytical, mathematical, and statistical theories and practices to design appropriate machine learning modeling approaches.

• Builds training, validation, and testing datasets in a robust and reproducible way to train models and evaluate model performance.

• Delivers model results in appropriate formats (e.g., reports, visuals, presentations, and structured output data).

• Conducts research as needed to support modeling studies and prepare written products to convey research-based knowledge and information to a variety of audiences.

• Writes code to automate model prep, execution, evaluation, and presentation of results.

Contact Jordan Read (jr...@usgs.gov) or Alison Appling (aapp...@usgs.gov) with any questions.