Participate in meetings across the enterprise data science community, gaining exposure to cross functional business units.
Build networking relationships and receive mentoring from team members and top-level management.
Communicate findings and project status clearly and professionally through presentations.
Provide recommendations to upper management.
Provide comprehensive report-out to senior leaders on assignments and other related projects.
Use strategic thinking and perform data analytics for a variety of business problems and opportunities and create high quality analytics solutions.
Apply a wide variety of database applications and analytical tools, including SQL, Google Cloud Big Query and Python.

Requirements

Currently pursuing a PhD degree in a quantitative field (Analytics, Finance, Information Systems, etc.)
Excellent academic performance
Experience in a modern scripting language (preferably Python)
Experience running queries against data (preferably with Google BigQuery or SQL)
Experience with data visualization software (preferably Tableau)
Exposure to statistics, predictive modeling and other data science methodologies
Preferred GPA 3.0 or above.

Benefits

Applicant Tracking System Keywords

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

Hard Skills & Tools

data analyticsSQLGoogle Cloud BigQueryPythondata visualizationTableaupredictive modelingstatisticsdatabase applicationsanalytical tools

Soft Skills

communicationstrategic thinkingnetworkingmentoringpresentation skillsrelationship buildingreportingprofessionalismcollaborationproblem-solving

Certifications

PhD in quantitative field