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, to reveal insights from large volumes of data
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
Flex interpersonal skills to translate complexity into actionable insights

Requirements

Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related)
6 years of experience performing data analytics (or 4 years with a Master's, or 1 year with a PhD)
At least 1 year of experience leveraging open source programming languages for large scale data analysis
At least 1 year of experience working with machine learning
At least 1 year of experience utilizing relational databases
Preferred: PhD in STEM field plus 3 years of experience in data analytics
Preferred: At least 1 year of experience working with AWS
Preferred: At least 4 years of experience in Python, Scala, or R for large scale data analysis
Preferred: At least 4 years of experience with machine learning
Preferred: At least 4 years of experience with SQL

Benefits

Health insurance
401(k) matching
Performance based incentive compensation (cash bonuses and/or long term incentives)
Comprehensive and inclusive benefits supporting well-being

Applicant Tracking System Keywords

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

Hard Skills & Tools

PythonAWSH2OSparkmachine learningdata analyticsrelational databasesSQLScalaR

Soft Skills

interpersonal skillscommunicationcollaborationproblem-solvingactionable insights

Certifications

Bachelor's DegreeMaster's DegreePhD