Master's degree (MS) or Ph.D. in Computational Methods, Physical Science, Statistics, Applied Mathematics, Data Science, or a related quantitative discipline.
5 to 8+ years applying machine learning, statistical modeling, and quantitative research.
Proven track record in quantitative research methodologies and experimental design, with publications or presentations of scientific or computational research, or patents.
Advanced proficiency in Python and SQL.
Hands-on experience with ML and statistics libraries such as Scikit-Learn, TensorFlow/Keras, PyTorch, Pandas, and Statsmodels.
We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.