Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
Build machine learning models through all phases of development, from design through training, evaluation, validation, implementation, and performance monitoring, including managing model risk
Flex your interpersonal skills to translate the complexity of your work into tangible business goals
Requirements & Skills:
Currently has, or is in the process of obtaining a Bachelor’s Degree plus 6 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 4 years of experience in data analytics, or currently has, or is in the process of obtaining PhD plus 1 year of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start date
At least 2 years experience in open-source programming languages for large-scale data analysis
At least 2 years of experience with machine learning
At least 2 years of experience with relational databases
PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics
At least 2 years of experience in transformer or other deep learning techniques
At least 1 year of experience working with AWS or other cloud systems
At least 4 years of experience in Python for large-scale data analysis
At least 4 years of experience with machine learning
