Statistics Faculty Advisor - Remote Customer Success

Pearson

Santa Fe (NM)

On-site

USD 90,000 - 120,000

Full time

14 days+
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Job summary

Pearson North America Higher Education Customer Success Organization is seeking a Faculty Advisor for Mathematics and Statistics. This role partners with course-level administrators to align Pearson digital products with instructors’ learning objectives and student outcomes, requiring expertise in college-level statistics.

The successful candidate will deliver face-to-face and virtual trainings, develop implementation tutorials, and collaborate across teams to improve course design, integration,

Qualifications

  • Master’s degree in Statistics is required.
  • At least 5 years of full-time college-level teaching in Statistics.
  • Power-user experience with Pearson MyLab is required.
  • Experience with multiple Math/Stats fields and data science desirable.
  • Online teaching experience and LMS familiarity preferred.

Responsibilities

  • Partner with course-level administrators to advise on Pearson product integration.
  • Consult on digital assessment, grading, and reporting strategies (MyLab).
  • Consult with customers on content modification and creation.
  • Create department-level training resources (videos, guides, webinars).
  • Collaborate with Product teams on new platforms and features.
  • Partner with Sales on campaigns, calls, meetings, and demos.
  • Use metrics and reporting to document recommendations and course design evolution.

Skills

Statistics teaching
Online teaching
LMS experience
Public speaking

Education

Master's degree in Statistics

Tools

Pearson MyLab
Copilot / Generative AI tools

Job description

Pearson North America Higher Education Customer Success Organization is seeking a Faculty Advisor for Mathematics and Statistics. This role partners with course-level administrators to align Pearson digital products with instructors’ learning objectives and student outcomes, requiring expertise in college-level statistics.

The successful candidate will deliver face-to-face and virtual trainings, develop implementation tutorials, and collaborate across teams to improve course design, integration,

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