Apply your strategic and analytical skills to major business challenges.
Team with world-class professionals to develop and test strategies that ultimately impact the bottom line
Lead a growing team of data scientists, analysts, engineers.
Partner with people within the Software business and across the enterprise and at external platforms
Leverage a broad stack of technologies to reveal the insights hidden within huge volumes of numeric and textual data
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 11 years of experience performing data analytics
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 9 years of experience performing data analytics
A PHD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
At least 6 years of experience leveraging open source programming languages for large scale data analysis
At least 6 years of experience working with machine learning
At least 6 years of experience utilizing relational databases

Benefits

A comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

Applicant Tracking System Keywords

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

Hard Skills & Tools

data analyticsopen source programming languageslarge scale data analysismachine learningrelational databasesquantitative analysisstatistical analysisoperations researchdata visualizationanalytics

Soft Skills

strategic skillsanalytical skillsleadershipteam collaborationcommunicationproblem-solvingbusiness acumenpartnershiptranslating complexityimpact assessment