Partner with a cross-functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models
Leverage a broad stack of technologies — Python, Conda, AWS, Spark, and more
Build machine learning models to challenge “champion models” deployed in production today
Contribute to the model governance framework for the next generation of machine learning models

Requirements

Bachelor’s Degree plus 6 years of experience in data analytics, or Master’s Degree plus 4 years of experience, or PhD plus 1 year of experience
At least 2 years’ experience with machine learning
At least 2 years’ experience with relational databases
Hands-on experience developing data science solutions using open-source tools and cloud computing platforms

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Pythonmachine learningdata analyticsrelational databasesmodel governancedata science solutionsopen-source toolscloud computing

Certifications

Bachelor’s DegreeMaster’s DegreePhD