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, and implementation
Flex your interpersonal skills to translate the complexity of your work into tangible business goals

Requirements

A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics
A Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 5 years of experience performing data analytics
A PhD in a quantitative field plus 2 years of experience performing data analytics
At least 2 years of experience leveraging open source programming languages for large scale data analysis
At least 2 years of experience working with machine learning
At least 2 years of experience utilizing relational databases

Benefits

Comprehensive health, financial, and other benefits that support total well-being
Performance-based incentive compensation, which may include cash bonuses and long-term incentives

Applicant Tracking System Keywords

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

Hard Skills & Tools

Pythonmachine learningdata analyticsrelational databasesdata analysismodel evaluationmodel validationmodel implementationopen source programming languageslarge scale data analysis

Soft Skills

interpersonal skillscommunication

Certifications

Bachelor's DegreeMaster's DegreePhD